🎯 Multi-Dimensional Navigator

This skill serves B2B SaaS companies across multiple dimensions. Find your path:

STEP 1: What's Your Industry Vertical?

Your industry determines:

Which competitors to track
What research is critical vs nice-to-have
Regulatory constraints
Competitive positioning strategies
Risk tolerance for aggressive tactics

→ Sales Tech (Gong, Outreach, Salesloft) - See Section A
→ HR Tech (Culture Amp, Lattice, BambooHR) - See Section B  
→ Fintech (Razorpay, Happay, Stripe) - See Section C
→ Operations Tech (FieldAssist, Locus, logistics/retail) - See Section D
→ Other B2B SaaS - Use Sales Tech as base, adapt as needed

STEP 2: What's Your Company Stage?

Your stage determines:

Research budget available
Tool sophistication
Time you can invest
Depth of analysis needed
Who does the work

→ Series A ($1M-10M ARR, 10-200 employees) - Path 1
→ Series B/C ($10M-50M ARR, 200-1000 employees) - Path 2
→ Series D+ ($50M+ ARR, 1000+ employees) - Path 3

STEP 3: What's Your Primary Market?

Your geography determines:

Competitor set (local vs global)
Pricing benchmarks
Market size calculation methods
Research sources available
Language/cultural considerations

→ India-first market - India guidance
→ US-first market - US guidance  
→ Global/multi-market - Hybrid approach

STEP 4: Who's Doing This Research?

Your role determines:

Autonomy level
Approval workflows
Time available
Output format needed

→ Founder/Co-Founder - Full autonomy
→ VP/Director - Manager approval
→ Product Marketing Manager - Team collaboration
→ Strategy/Insights Team - Stakeholder coordination

Quick Navigation by Common Scenarios

Most Common Use Cases:

"I'm a Series A founder building battle cards for my sales team" → Go to: Section A1 (Sales Tech, Series A, Founder-Led Research)
"I'm a PMM at Series B HR Tech, need competitive analysis for upmarket move" → Go to: Section B2 (HR Tech, Series B, Professional Research)
"I'm CMO at Series C fintech, board wants market landscape" → Go to: Section C3 (Fintech, Series C+, Strategic Intelligence)
"I'm VP at ops tech selling to India retail, need to size market" → Go to: Section D1 (Operations Tech, India Market Sizing)

📊 SECTION A: SALES TECH COMPETITIVE INTELLIGENCE

When To Use This Section:

Your product: Sales engagement, conversation intelligence, sales enablement, coaching
Your competitors: Gong, Outreach, Salesloft, Chorus, Apollo, ZoomInfo
Your buyers: Sales leaders, CROs, RevOps
Your go-to-market: PLG or sales-led for SMB/Mid-market

A1: Sales Tech @ Series A (Scrappy Founder Research)

Your Reality Check:

COMPANY PROFILE:
- Size: $1M-10M ARR, 10-100 employees
- Stage: Series A, finding PMF → scaling
- Team: Founder or PM doing research (side of desk)
- Budget: $0-500/month for ALL tools
- Timeline: 2-3 days max (need it for pitch/sales enablement)

The Sales Tech Competitive Landscape:

Your Competitor Tiers:

TIER 1: Enterprise Incumbents (NOT your competition... yet)
- Gong ($500M+ valuation, enterprise-focused)
- Outreach (public, enterprise)
- Salesloft ($2.3B valuation, mid-market+)
WHY THEY MATTER: Buyers know these brands, you'll be compared
YOUR ANGLE: "Too expensive/complex for SMBs"
TIER 2: Growth-Stage Competitors (Your Real Competition)

Chorus (acquired by ZoomInfo, mid-market)
Revenue.io (Series B, conversation intelligence)
Wingman (India-based, SMB focus)
WHY THEY MATTER: Similar stage, similar ICP
YOUR ANGLE: Feature differentiation, regional focus

TIER 3: Emerging Startups (Watch List)

Seed/Series A conversation intelligence startups
AI sales coaching tools
Regional players (India, SEA)
WHY THEY MATTER: Could pivot into your space
YOUR ANGLE: Speed, innovation, local expertise

Series A Sales Tech Research: 3-Day Sprint

GOAL: Positioning deck + battle cards for sales team

DAY 1: Competitive Landscape Mapping (4 hours)

09:00-10:00 | Define Your Competitive Set
For Sales Tech, consider:
□ Direct: Same solution (conversation intelligence)
□ Indirect: Different tech, same outcome (sales training platforms)
□ Adjacent: Complementary (CRM, sales engagement platforms)
India-specific search strings:

"conversation intelligence India"
"sales enablement software India"
"alternatives to Gong for SMB"
"affordable sales coaching tools"

US search strings:

"Gong alternatives for small teams"
"sales tech for Series A companies"
"conversation intelligence under $10K"

10:00-11:30 | Categorize Competitors
TEMPLATE:
Company | Tier | ICP | Price Point | Geography | Strength | Weakness
Gong | Tier 1 | Enterprise | $20K-50K+ | US/Global | Deep analytics | Too expensive
Wingman | Tier 2 | SMB | $5K-15K | India | Local | Limited features
[Yours] | - | SMB | $3K-10K | India→US | AI coaching | New brand
11:30-13:00 | Pricing Research (Critical for Sales Tech)
Sales Tech = Price-sensitive market
FREE RESEARCH SOURCES:
□ G2 reviews mentioning price: "Filter by 'pricing' mentions"
□ Reddit r/sales: "What do you pay for [tool]?"
□ LinkedIn polls: "What's your sales tech budget?"
□ Competitor job posts: Sales compensation = pricing signals
WHAT TO FIND:

Gong: $1,500-4,000/seat/year (from reviews)
Outreach: $100-150/user/month
YOUR TARGET: 50-70% cheaper than incumbents

PRICING POSITIONING:
"Enterprise features, SMB pricing"
"Gong-quality insights at 1/3 the cost"

DAY 2: Feature & Positioning Deep Dive (4 hours)

09:00-11:00 | G2 Review Mining (Sales Tech Specific)
Sales Tech buyers care about:

Ease of implementation (IT approval hurdle)
Call recording quality
CRM integration (Salesforce, HubSpot MUST-HAVE)
Coaching insights (actionable)
ROI/deal velocity improvement

WHAT TO EXTRACT:
□ Top 3 features mentioned in 5-star reviews
□ Top 3 complaints in 1-2 star reviews
□ "Switched from X because..." patterns
□ "Considering X vs Y" comparisons
SALES TECH SPECIFIC INSIGHTS:

67% mention "Salesforce integration" as critical
43% complain about "too many features we don't use"
31% say "too expensive for our team size"
22% want "real-time coaching vs post-call analysis"

YOUR OPPORTUNITY:
✅ Simplified feature set (80% of value, 20% of complexity)
✅ SMB pricing ($200-500/seat/year vs $1,500+)
✅ AI coaching focus (vs pure analytics)
✅ India-first, then global
11:00-13:00 | GTM Strategy Analysis
Sales Tech companies typically use:
ENTERPRISE (Gong, Outreach):

Channel: Outbound sales (100+ SDRs)
Content: Thought leadership, podcasts, events
Pricing: Enterprise sales, no public pricing
Cycle: 3-6 months

MID-MARKET (Chorus, Revenue.io):

Channel: Hybrid (inbound + outbound)
Content: SEO, webinars, free tools
Pricing: Visible tiers, sales for enterprise
Cycle: 1-3 months

SMB (Your Target):

Channel: PLG + inbound
Content: Tactical guides, YouTube, free tier
Pricing: Self-serve, transparent pricing
Cycle: <30 days

COMPETITIVE INTEL:
□ Check LinkedIn: Hiring SDRs = outbound motion
□ Check content: Blog topics = SEO keywords they target
□ Check ads: Facebook Ad Library for messaging

DAY 3: Synthesis & Battle Cards (4 hours)

09:00-10:30 | Positioning Matrix (Sales Tech Specific)
2×2 MATRIX:
X-Axis: Enterprise ←→ SMB
Y-Axis: Pure Analytics ←→ Coaching Focus
WHERE COMPETITORS LAND:

Gong: Top-left (Enterprise, Analytics)
Outreach: Left-center (Enterprise, Engagement)
Chorus: Center (Mid-market, Analytics)


WHITE SPACE IDENTIFIED:
✅ SMB + Coaching focus = underserved
✅ India market (Gong expensive for Indian SMBs)
✅ AI-powered real-time coaching (vs post-call)
10:30-12:00 | Battle Cards (Top 3 Competitors)
BATTLE CARD TEMPLATE - SALES TECH FOCUS:
┌─────────────────────────────────────────────┐
│ VS. GONG (Enterprise Incumbent)             │
├─────────────────────────────────────────────┤
│ THEIR STRENGTHS:                            │
│ • Deep conversation analytics               │
│ • Forecasting accuracy                      │
│ • Enterprise-grade security                 │
│ • 1000+ integrations                        │
│                                             │
│ THEIR WEAKNESSES:                           │
│ • Price: $20K-50K+ annually (too expensive) │
│ • Complexity: Overkill for SMB (10-50 reps)│
│ • Setup: Requires IT, 2-4 week onboarding  │
│ • Contract: Annual commit, enterprise sales │
│                                             │
│ WHEN THEY WIN:                              │
│ • Large sales org (50+ reps)                │
│ • Complex B2B sales (6+ month cycles)       │
│ • Enterprise budget ($50K+ sales tech)      │
│ • Need forecasting + analytics depth        │
│                                             │
│ WHEN WE WIN:                                │
│ • SMB sales team (5-25 reps)                │
│ • Tight budget (< $10K/year sales tech)     │
│ • Need coaching > analytics                 │
│ • Fast setup required (< 1 week)            │
│                                             │
│ OUR COUNTER-POSITIONING:                    │
│ "Gong is built for Salesforce with 500 reps│
│  We're built for startups with 15 reps.    │
│  Same AI insights, 1/3 the price,           │
│  10× faster setup."                         │
│                                             │
│ SALES TALKING POINTS:                       │
│ 1. "Save $15K/year vs Gong"                 │
│ 2. "Setup in 1 day vs 4 weeks"              │
│ 3. "AI coaching, not just dashboards"       │
│ 4. "Built for Indian SMB sales teams"       │
│                                             │
│ OBJECTION HANDLERS:                         │
│ "But Gong is the category leader..."        │
│ → "For enterprise. You're not enterprise.   │
│    You need 80% of Gong at 20% of the cost."│
│                                             │
│ "Gong has more features..."                 │
│ → "Which features do your 12 reps actually  │
│    use? We focus on coaching that helps reps│
│    close deals this quarter."               │
└─────────────────────────────────────────────┘
12:00-13:00 | Market Sizing (Sales Tech, India Focus)
BOTTOM-UP APPROACH:
STEP 1: Define ICP

B2B SaaS companies
$1M-10M ARR
10-50 employees
India geography
Have sales team (5+ people)

STEP 2: Count Companies (FREE TOOLS)
□ LinkedIn Sales Navigator (free trial):

Filter: "B2B SaaS" + "India" + "10-50 employees"
Count: ~2,500 companies

□ Crunchbase (free tier):

Filter: "B2B" + "India" + "$1M-10M funding"
Count: ~1,800 companies

□ Cross-reference: ~2,000 companies (conservative)
STEP 3: Estimate Deal Size
□ Research 10 competitor pricing pages
□ G2 reviews mentioning price
□ Assume: $5K average annual contract value
STEP 4: Calculate SAM
2,000 companies × $5,000 = $10M SAM (India only)
VALIDATION:

Does this feel right for India B2B SaaS sales tech?
Cross-check: Wingman (Indian competitor) raised $X, implies $Y market
Sense check with 3 sales leaders: "Does $10M India market sound right?"

TOP-DOWN VALIDATION:

Global sales enablement: $5B (Gartner)
India = ~1.5% of global B2B SaaS market
$5B × 1.5% × 30% (conversation intel subset) = ~$22M
Bottom-up $10M vs top-down $22M → Use conservative $10-15M SAM

Output: Series A Sales Tech Deliverable Package

DELIVERABLE 1: Competitive Landscape (Google Slides)
- Slide 1: Market map (30+ companies plotted)
- Slide 2: 2×2 positioning matrix
- Slide 3: Competitive tiers (Enterprise/Growth/Emerging)
- Slide 4: White space opportunity
DELIVERABLE 2: Battle Cards (Google Doc)

Top 5 competitors
1-page per competitor
Sales talking points
Objection handlers
When we win/lose

DELIVERABLE 3: Market Sizing (Spreadsheet)

TAM-SAM-SOM calculations
Data sources cited
Methodology explained
Conservative + aggressive scenarios

DELIVERABLE 4: Strategic Recommendations (1-pager)

Positioning: "Gong for Indian SMBs"
Pricing: $3K-8K/year (vs Gong $20K+)
GTM: PLG motion, self-serve, fast setup
Roadmap: Must-have integrations (Salesforce, HubSpot)

TIME INVESTED: 12 hours over 3 days
TOOLS COST: $0 (used free trials)
OUTPUT QUALITY: Good enough for Series A pitch deck + sales enablement

Sales Tech Specific: Free Research Sources

ESSENTIAL (Use These):
□ G2 Sales Software category (18,000+ reviews)
□ r/sales on Reddit (140K sales pros sharing)
□ Sales Hacker community (tactical insights)
□ Revenue Collective (sales leader slack)
□ LinkedIn Sales Navigator (15-day trial)
SALES-TECH SPECIFIC SOURCES:
□ Pavilion community (CRO insights)
□ SaaStr community (B2B SaaS)
□ Modern Sales Podcast (competitor mentions)
□ Gong's blog (learn from category leader)
INDIA-SPECIFIC:
□ SaaSBoomi community (India B2B SaaS)
□ Indian startup funding announcements
□ Economic Times tech coverage
□ Inc42 (Indian startup news)

A2: Sales Tech @ Series B (Professional Product Marketing Research)

Your Reality Check:

COMPANY PROFILE:
- Size: $10M-30M ARR, 150-500 employees
- Stage: Series B, scaling GTM
- Team: Product Marketing Manager (you) + maybe 1 analyst
- Budget: $1K-5K/month for research tools
- Timeline: 2 weeks for comprehensive analysis
- Stakeholders: VP Marketing, Sales leadership, Product

Why Series B Research is Different:

SERIES A: Quick battle cards for selling
SERIES B: Strategic intelligence for scaling
You need to answer:

Should we move upmarket? (Mid-market → Enterprise)
Which features to build? (Product roadmap input)
Where to invest marketing $? (Channel strategy)
How to price for growth? (Pricing strategy)
Which segments to prioritize? (ICP refinement)

Series B Sales Tech Research: 2-Week Sprint

WEEK 1: Comprehensive Competitive Analysis

DAY 1-2: Deep Competitive Profiling (8 hours)
Now you analyze 15-20 competitors (not just 5-10)
FOR EACH COMPETITOR:
□ Website messaging (positioning evolution)
□ Pricing (tiers, changes over time via Wayback Machine)
□ G2 reviews (read 50+, analyze themes)
□ Product Hunt launches (reception, comments)
□ Job postings (where are they investing?)
□ Leadership LinkedIn (what are execs talking about?)
□ Funding announcements (investors, use of funds)
□ Tech stack (BuiltWith: what tools do they use?)
TOOLS YOU CAN NOW AFFORD:
✅ LinkedIn Sales Navigator ($99/mo) - Org charts, decision makers
✅ Crunchbase Pro ($29/mo) - Funding, M&A, investors
✅ SimilarWeb Starter ($125/mo) - Traffic, digital strategy
✅ Ahrefs Lite ($99/mo) - SEO competitive analysis
Total: ~$350/month (justified by time savings)
DAY 3-4: Win/Loss Analysis (8 hours)
Interview 10-15 customers who chose you vs competitors
SALES TECH WIN/LOSS QUESTIONS:

"Which other tools did you evaluate?"
"What almost made you choose [Competitor]?"
"What feature tipped the scales for us?"
"How did pricing compare?"
"How does our team size compare to [Competitor] customers?"

PATTERN RECOGNITION:
We win when: [Small teams, fast setup, coaching focus]
We lose when: [Need forecasting, enterprise security, API access]
Recommendation: Build [X features] to reduce losses
DAY 5: Synthesis + Strategic Implications (4 hours)
OUTPUT:

Competitive positioning map (updated)
Feature gap analysis (what to build)
Pricing benchmarking (how to price new tiers)
Market trends (where is sales tech moving?)

WEEK 2: Market Expansion Analysis

DAY 6-7: Upmarket Feasibility (8 hours)
RESEARCH QUESTION: Can we compete for mid-market deals (50-200 reps)?
COMPETITOR ANALYSIS:
□ What features do mid-market buyers need?

From G2: Enterprise reviews mentioning must-haves
Security: SOC 2, SSO, role-based access
Integrations: Salesforce, Outreach, Gong
Analytics: Forecasting, pipeline visibility

□ How do competitors serve mid-market?

Chorus: Acquired by ZoomInfo, bundled strategy
Revenue.io: Series B, $X-$Y deal sizes
Our positioning: Can we credibly compete?

GAP ANALYSIS:
Missing for mid-market:
❌ SOC 2 compliance (need 6 months)
❌ SSO (need 3 months)
❌ Advanced analytics (need 4 months)
✅ Salesforce integration (have it)
✅ Core conversation intel (have it)
DECISION:

Timeline: 12 months to be mid-market ready
Investment: $X engineering cost
ROI: Mid-market ACV $15K vs SMB $5K = 3× uplift
Recommendation: Prioritize mid-market readiness

DAY 8-9: Geographic Expansion Research (8 hours)
RESEARCH QUESTION: India → US expansion feasibility
MARKET SIZING (US):

LinkedIn Sales Navigator: 15,000 SMB B2B SaaS companies (10-100 employees)
vs India: 2,000 companies
7.5× larger market

COMPETITIVE LANDSCAPE (US):

Gong: Dominant in enterprise
Smaller players: Revenue.io, Chorus (acquired)
WHITE SPACE: SMB coaching focus (same as India)

CHALLENGES:

Price expectations: US buyers pay 2-3× more
Sales motion: Need US-based sales team
Brand: Unknown in US (need marketing investment)
Support: US time zones (need US support team)

VALIDATION:

Interview 5 US sales leaders: "Would you buy from India company?"
Competitor analysis: Wingman (India) struggling in US = cautionary tale

DAY 10: Final Synthesis (4 hours)
DELIVERABLE: Strategic Recommendations Deck

Slide 1: Executive summary
Slides 2-5: Competitive landscape evolution
Slides 6-10: Upmarket opportunity + roadmap
Slides 11-15: Geographic expansion analysis
Slides 16-20: Product roadmap priorities
Slides 21-25: Pricing strategy recommendations

Series B Sales Tech: Tool Stack & Budget

MONTHLY TOOL BUDGET: $350-500
TIER 1 (MUST-HAVE):
□ LinkedIn Sales Navigator ($99/mo)
→ WHY: Win/loss research, ICP sizing, org charts
→ ROI: Saves 10+ hours/month on manual research
□ Crunchbase Pro ($29/mo)
→ WHY: Competitor funding, M&A signals, investor insights
→ ROI: Early warning on competitive moves
□ SimilarWeb Starter ($125/mo)
→ WHY: Traffic analysis, digital strategy benchmarking
→ ROI: Understand competitor GTM investment
TIER 2 (SHOULD-HAVE):
□ Ahrefs Lite ($99/mo)
→ WHY: SEO competitive analysis, content gap identification
→ ROI: Inform content strategy, find keyword opportunities
TIER 3 (NICE-TO-HAVE):
□ Hunter.io ($49/mo)
→ WHY: Find stakeholder emails for research interviews
→ ROI: Better win/loss research, customer interviews

CANNOT YET JUSTIFY:
❌ Gartner ($30K/year) - Too expensive for Series B
❌ Klue ($15K/year) - Maybe at Series C
❌ ZoomInfo ($15K/year) - Sales Nav sufficient for now

A3: Sales Tech @ Series C+ (Strategic Intelligence Team)

Your Reality Check:

COMPANY PROFILE:
- Size: $50M+ ARR, 500+ employees
- Stage: Series C/D or preparing for IPO
- Team: Market Intelligence team (2-3 FTE) + you (Director/VP)
- Budget: $50K-150K/year for research
- Timeline: Ongoing monitoring + quarterly deep dives
- Stakeholders: C-suite, Board, Investors

Why Series C+ Research is Different:

SERIES A: Battle cards for sales
SERIES B: Strategic positioning for scaling
SERIES C+: Board-level intelligence + M&A due diligence
You need to answer:

M&A targets: Who should we acquire?
Competitive moats: How defensible are we?
Market trends: Where is category moving (5-year view)?
Strategic threats: Who could disrupt us?
IPO readiness: How do we compare to public comps?

Enterprise Sales Tech Intelligence: Continuous + Quarterly

ONGOING: Continuous Monitoring

DAILY MONITORING (Automated):
□ Klue alerts: Competitor website changes, job postings, news
□ Google Alerts: Competitor mentions in media
□ G2 reviews: New reviews for top 10 competitors
□ Funding announcements: Crunchbase + news sources
□ Social media: Competitor exec LinkedIn posts
WHO MONITORS: Intelligence Analyst (dedicated role)
OUTPUT: Weekly email update to sales + marketing leadership
WEEKLY SYNTHESIS:
□ Competitive win/loss trends (from CRM)
□ Product updates (from competitor release notes)
□ Marketing campaigns (from ad tracking)
□ Pricing changes (from public sites + customer reports)
OUTPUT: Friday competitive update (5-10 min read)
AUDIENCE: Sales team (battle card updates as needed)

QUARTERLY: Strategic Deep Dives

Q1: Competitive Landscape Assessment
DELIVERABLE: Board-level presentation
SECTION 1: Market Evolution (10 slides)

TAM/SAM trends (growing, stable, shrinking?)
New entrants (who raised funding? acquisitions?)
Category consolidation (M&A activity)
Technology shifts (AI, new modalities)

SECTION 2: Competitive Position (15 slides)

Market share estimates (us vs top 5)
Win/loss trends (improving or declining?)
NPS comparison (us vs competitors via G2)
Product feature parity matrix
Pricing position (are we premium or value?)

SECTION 3: Strategic Recommendations (10 slides)

Competitive threats to watch
White space opportunities
M&A target shortlist (if acquiring)
Product roadmap priorities (based on competitive gaps)
GTM strategy adjustments

DATA SOURCES:
✅ Gartner Magic Quadrant (if in category)
✅ Forrester Wave (if in category)
✅ Custom research (commission primary research)
✅ Win/loss analysis (200+ interviews/year)
✅ G2 Grid analysis (track quarterly movement)
Q2: Strategic M&A Analysis
RESEARCH QUESTION: Who should we acquire? Why?
ACQUISITION CRITERIA (Sales Tech Example):
□ Strategic fit: Expand platform (e.g., add sales engagement)
□ Geographic expansion: Acquire EMEA leader
□ Talent acquisition: AI/ML team
□ Customer acquisition: Buy competitor's customer base
□ Technology: Buy IP/patents
TARGET IDENTIFICATION:

Map ecosystem (100+ companies in sales tech)
Filter by stage (Series A-B, $5M-30M valuation)
Analyze fit (tech, customers, team, geography)
Shortlist top 10 targets
Deep due diligence on top 3

DUE DILIGENCE (per target):
□ Financial analysis (ARR, growth, burn)
□ Customer overlap (would we lose customers?)
□ Technology assessment (IP, code quality)
□ Team assessment (would leadership stay?)
□ Integration complexity (how hard to integrate?)
OUTPUT: M&A target deck with 3 recommended acquisitions
Q3: Analyst Relations + Thought Leadership
GOAL: Influence Gartner/Forrester positioning
ACTIVITIES:
□ Analyst briefings (2× quarterly per analyst)
□ Gartner Magic Quadrant preparation (if applicable)
□ Forrester Wave participation
□ Commissioned research (sponsor reports)
□ Industry conference sponsorships
RESEARCH OUTPUT:
□ "State of Sales Tech 2026" report
□ Benchmark data (share anonymized metrics)
□ Thought leadership content
□ Media coverage (Forbes, TechCrunch, etc.)
WHY THIS MATTERS:

Gartner/Forrester inclusion = enterprise sales credibility
Commissioned research = brand building
Thought leadership = category ownership

Q4: IPO Readiness / Public Market Comparables
RESEARCH QUESTION: How do we compare to public companies?
PUBLIC COMPS (Sales Tech):

Outreach (if public)
ZoomInfo (public, owns Chorus)
Salesforce (Sales Cloud comparable)

METRICS TO BENCHMARK:
□ ARR growth rate (us vs public comps)
□ Gross margin (us vs public comps)
□ Net revenue retention (us vs public comps)
□ Sales efficiency (CAC, LTV/CAC ratio)
□ Market cap / ARR multiple
OUTPUT:

"Public company readiness" assessment
Competitive positioning for investor roadshow
Analyst day preparation materials

Series C+ Sales Tech: Premium Tool Stack

ANNUAL RESEARCH BUDGET: $75K-150K
TIER 1 (ESSENTIAL):
□ Gartner ($35K-50K/year)
→ WHY: Analyst access, Magic Quadrant inclusion
→ ROI: Enterprise credibility, required for upmarket
□ Klue or Crayon ($18K-25K/year)
→ WHY: Competitive intelligence platform, automated monitoring
→ ROI: Saves 20+ hours/week for intelligence team
□ ZoomInfo ($20K-30K/year)
→ WHY: Contact data, org charts, buying signals
→ ROI: Sales enablement, account-based targeting
TIER 2 (STRONGLY RECOMMENDED):
□ SimilarWeb Enterprise ($25K-40K/year)
→ WHY: Competitive traffic benchmarking, market share estimates
→ ROI: Track competitive digital strategy
□ Custom Research ($20K-40K/year)
→ WHY: Primary research, commissioned reports
→ ROI: Proprietary insights, thought leadership
TIER 3 (CONSIDER):
□ Forrester ($30K/year)
→ WHY: Alternative to Gartner, Wave analysis
→ ROI: If Gartner doesn't cover your category well
□ CB Insights ($20K/year)
→ WHY: Market maps, M&A intelligence, emerging competitors
→ ROI: Strategic planning, M&A target identification

TOTAL: $75K-150K/year

📊 SECTION B: HR TECH COMPETITIVE INTELLIGENCE

When To Use This Section:

Your product: HRIS, employee engagement, performance management, recruiting, learning
Your competitors: Workday, BambooHR, Culture Amp, Lattice, Lever, Greenhouse
Your buyers: HR leaders, CHROs, People Ops
Your go-to-market: Typically sales-led (HR is relationship-driven)

B1: HR Tech @ Series A (Founder-Led Research)

Your Reality Check:

COMPANY PROFILE:
- Size: $2M-8M ARR, 20-80 employees
- Stage: Series A, early PMF
- You: Founder (often ex-HR tech or HRBP background)
- Budget: $0-300/month
- Timeline: 1 week for competitive positioning

The HR Tech Competitive Landscape (Different from Sales Tech):

Key Differences vs Sales Tech:

SALES TECH:
- Buyers: Sales leaders (aggressive, data-driven, ROI-focused)
- Buying cycle: 1-3 months (fast)
- Decision: Individual or small team
- Risk tolerance: High (experiment with tools)
HR TECH:

Buyers: HR leaders (relationship-driven, risk-averse, people-focused)
Buying cycle: 3-9 months (slower, more deliberate)
Decision: Committee (HR + Finance + Legal + IT)
Risk tolerance: LOW (can't screw up people data)

This Changes Everything About Competitive Research:

FOR SALES TECH:
✅ Aggressive competitive positioning okay ("We're 10× cheaper than Gong")
✅ Fast iteration, experiment
✅ Attack incumbents publicly

FOR HR TECH:
❌ NEVER attack competitors (HR community is small, reputation matters)
❌ Conservative positioning only
❌ Professional tone mandatory (HR is risk-averse)
✅ Emphasize: Trust, security, compliance, relationships

Series A HR Tech Research: Conservative Approach

DAY 1-2: Competitive Landscape (But Make It Professional)

09:00-12:00 | Map HR Tech Ecosystem
HR Tech has sub-categories (pick yours):
□ HRIS/Core HR: Workday, BambooHR, Rippling, Deel
□ Employee Engagement: Culture Amp, Lattice, 15Five
□ Performance Management: Lattice, Betterworks, 7Geese
□ Recruiting: Lever, Greenhouse, Ashby
□ Learning: Degreed, EdCast, Docebo
□ Comp & Benefits: Pave, Figures, Carta (equity)
INDIA-SPECIFIC HR TECH:
□ Darwinbox (India HRIS leader)
□ Keka (SMB HRIS)
□ EngageWith (employee engagement)
□ SumHR (payroll + HR)
RESEARCH SOURCES (HR-Specific):
□ SHRM (Society for HR Management) - not for competitive intel, but industry trends
□ HR Brew newsletter (industry news)
□ HR Tech Conference exhibitor list
□ G2 HR Software categories
12:00-13:00 | Pricing Research (HR Tech Nuance)
HR Tech pricing is DIFFERENT from Sales Tech:
SALES TECH: Per-seat, usage-based, transparent
HR TECH: Per-employee, bundled, often hidden
PRICING MODELS:

BambooHR: $X/employee/month (SMB)
Workday: Enterprise-only, no public pricing
Culture Amp: $3-7/employee/month (from reviews)
Lattice: $4-11/employee/month

YOUR POSITIONING:
"Affordable for SMBs" (if BambooHR is $6/employee, you're $3-4)
NOT: "10× cheaper" (too aggressive for HR)

DAY 3-4: Feature Analysis (HR Compliance is Critical)

HR TECH MUST-HAVES (Regulatory):
FOR INDIA MARKET:
✅ PF/ESI compliance (mandatory)
✅ Gratuity calculations
✅ Leave policy (Indian labor law)
✅ Payroll (statutory deductions)
FOR US MARKET:
✅ EEOC compliance (equal employment)
✅ ADA compliance (disability)
✅ FMLA tracking (family medical leave)
✅ 401K integration
FOR EU MARKET:
✅ GDPR compliance (data privacy)
✅ Works council integration
✅ Country-specific labor laws
COMPETITOR ANALYSIS (Compliance Focus):
□ Which markets does competitor support?
□ What compliance features do they have?
□ Do they have SOC 2, ISO 27001, GDPR certifications?
□ What do reviews say about compliance failures?

THIS IS DIFFERENT FROM SALES TECH:
Sales Tech: Compliance nice-to-have
HR Tech: Compliance MANDATORY (you lose deals without it)

DAY 5: Positioning (Conservative, Professional)

HR TECH POSITIONING RULES:
❌ DON'T SAY:
"We're crushing competitors"
"Workday sucks"
"10× better than X"
✅ DO SAY:
"Trusted by 500+ HR leaders"
"Built specifically for mid-market"
"Compliant, secure, easy to use"
"Recommended by SHRM members"
POSITIONING FRAMEWORK (HR Tech):

Emphasize: Trust, security, compliance
Tone: Professional, warm, supportive
Avoid: Aggressive, sales-y, attacking

EXAMPLE POSITIONING:
"Culture Amp for Mid-Market Companies
Affordable, compliant, built for HR leaders who care about their people."

Not: "Culture Amp is too expensive. We're cheaper."

HR Tech Specific: Conservative Battle Cards

┌────────────────────────────────────────────┐
│ VS. CULTURE AMP (Category Leader)          │
├────────────────────────────────────────────┤
│ WHEN TO POSITION AGAINST THEM:             │
│ • Mid-market companies (200-1000 employees)│
│ • Budget-conscious HR teams               │
│ • Need engagement + performance           │
│                                            │
│ NEVER SAY:                                 │
│ ❌ "Culture Amp is too expensive"          │
│ ❌ "We're better than Culture Amp"         │
│ ❌ "Culture Amp has bad customer support"  │
│                                            │
│ INSTEAD SAY:                               │
│ ✅ "Culture Amp is excellent for enterprise│
│    We're purpose-built for mid-market."   │
│ ✅ "We focus on X (performance management) │
│    Culture Amp is broader (engagement)."  │
│ ✅ "Mid-market companies love our pricing  │
│    and hands-on support."                 │
│                                            │
│ RESPECTFUL DIFFERENTIATION:                │
│ • We: Mid-market focus ($200-1K employees) │
│ • Them: Enterprise focus (1K+ employees)   │
│ • We: Hands-on support included           │
│ • Them: Self-serve + paid support tiers   │
│ • We: $3-4/employee/month                 │
│ • Them: $5-8/employee/month               │
│                                            │
│ WHY RESPECT MATTERS IN HR TECH:            │
│ - HR community is small (everyone knows everyone)│
│ - Today's competitor could be tomorrow's  │
│   integration partner or acquisition target│
│ - HR buyers HATE vendor trash-talk         │
│ - Culture Amp might refer customers to you │
│   for mid-market deals they don't want    │
└────────────────────────────────────────────┘

B2: HR Tech @ Series B (Professional Research + Win/Loss)

Your Reality Check:

COMPANY PROFILE:
- Size: $12M-40M ARR, 200-600 employees
- Stage: Series B, moving upmarket or expanding modules
- You: Director of Product Marketing or PMM
- Budget: $2K-6K/month for research
- Goal: Should we move upmarket? Which features to build?

Series B HR Tech: Different Questions Than Sales Tech

SALES TECH @ SERIES B:
"Can we compete with Gong for mid-market?"
"Should we expand to US?"

HR TECH @ SERIES B:
"Should we add performance management to engagement?"
"Can we serve 1,000+ employee companies?"
"Do we need GDPR compliance for EU expansion?"
"Should we build AI features or partner?"

Week 1-2: Comprehensive HR Tech Competitive Analysis

RESEARCH FOCUS AREAS:

MODULE EXPANSION ANALYSIS (HR Tech Specific)

HR Tech companies expand via modules:

Start: Single point solution (e.g., just engagement)
Expand: Add adjacent modules (engagement → performance)
Platform: Full suite (HRIS → engagement → performance → learning)

COMPETITOR EVOLUTION EXAMPLES:

Lattice: Started performance → added engagement → added goals
Culture Amp: Started engagement → added performance
BambooHR: Started HRIS → added performance → added hiring

RESEARCH QUESTIONS:
□ Which competitors started where we started?
□ What modules did they add? In what order?
□ How long did expansion take?
□ What was customer reception? (from reviews)
□ Did they build or acquire modules?

UPMARKET READINESS ANALYSIS (HR Compliance Focus)

TO SERVE 1,000+ EMPLOYEE COMPANIES (Enterprise):
MUST-HAVE FEATURES:
□ SSO (Okta, Azure AD) - Security team requirement
□ SCIM (automated user provisioning)
□ SOC 2 Type II compliance (InfoSec requirement)
□ Custom reporting (HRIS integrations)
□ API access (IT team requirement)
□ Role-based access controls (complex org structures)
MUST-HAVE COMPLIANCE (US Enterprise):
□ EEOC reporting (equal employment opportunity)
□ ADA compliance (Americans with Disabilities Act)
□ OFCCP compliance (if government contractors)
□ State-specific labor laws (CA, NY, etc.)
MUST-HAVE COMPLIANCE (India Enterprise):
□ ISO 27001 certification
□ PF/ESI at scale (10,000+ employees)
□ Multi-state operations (different state labor laws)
□ Large enterprise payroll complexity
COMPETITOR RESEARCH:
□ When did Culture Amp add enterprise features?
□ What compliance did Lattice need for Fortune 500?
□ How long did upmarket move take?
TIMELINE ESTIMATE:

SSO/SCIM: 3-4 months engineering
SOC 2: 6-12 months (audit process)
Enterprise features: 6-9 months
TOTAL: 12-18 months to be enterprise-ready


WIN/LOSS ANALYSIS (HR Tech Nuances)

Interview 20 customers (10 won, 10 lost)
HR TECH WIN/LOSS QUESTIONS:

"Which other vendors did you evaluate?"
"What was your decision-making process?" (committee? timeframe?)
"Who was involved in decision?" (HR + Finance + IT + Legal?)
"What almost made you choose [Competitor]?"
"How important was compliance/security?" (1-10 scale)
"How important was hands-on support?" (1-10 scale)
"What's your relationship with vendor?" (transactional or partnership?)

PATTERN RECOGNITION (HR Tech Specific):
WE WIN WHEN:
✅ Mid-market (200-800 employees)
✅ Budget-conscious ($3-5/employee budget)
✅ Want hands-on support (not self-serve)
✅ HR team is small (1-3 people)
✅ Need fast implementation (<6 weeks)
WE LOSE WHEN:
❌ Enterprise (1,000+ employees) - lack SSO, SCIM
❌ Global (need GDPR, EU compliance)
❌ Complex hierarchy (role-based access insufficient)
❌ IT-led buying (they want API-first, we're UI-first)
❌ Want "platform" (we're point solution)
STRATEGIC IMPLICATIONS:

Build SSO/SCIM for enterprise (6-month roadmap)
Add GDPR compliance for EU (9-month roadmap)
Partner with HRIS vendors (can't build full platform)
Double down on mid-market (200-800 employees)
Emphasize customer success (differentiation)

Series B HR Tech: Tool Stack

MONTHLY BUDGET: $300-600
TIER 1 (ESSENTIAL):
□ LinkedIn Sales Navigator ($99/mo)
→ WHY: HR leader org charts, decision maker identification
→ HR TECH SPECIFIC: Track CHRO moves, HR team expansions
□ Crunchbase Pro ($29/mo)
→ WHY: HR Tech funding landscape, M&A activity
→ HR TECH SPECIFIC: Watch consolidation (lots of M&A in HR Tech)
TIER 2 (SHOULD-HAVE):
□ G2 Track ($150/mo)
→ WHY: Monitor competitor reviews, track review sentiment
→ HR TECH SPECIFIC: HR buyers rely heavily on G2 (conservative buyers)
SKIP FOR NOW:
❌ SimilarWeb ($125/mo) - Less relevant for HR Tech (not PLG)
❌ Ahrefs ($99/mo) - HR Tech = sales-led, SEO less critical
TOTAL: $280-350/month (conservative for HR Tech)

B3: HR Tech @ Series C+ (Compliance & Strategic Intelligence)

Your Reality Check:

COMPANY PROFILE:
- Size: $50M+ ARR, 800+ employees
- Stage: Series C/D, preparing for IPO or acquisition
- Team: Competitive Intelligence (2 FTE) + Compliance (2 FTE)
- Budget: $100K-200K/year (compliance mandates higher spend)
- Stakeholders: Board, Legal, Compliance, C-suite

Why HR Tech Enterprise Research is Unique:

SALES TECH ENTERPRISE RESEARCH:
Focus: Market position, M&A targets, feature parity
HR TECH ENTERPRISE RESEARCH:
Focus: Regulatory compliance, audit readiness, data security

all the Sales Tech stuff

ADDITIONAL COMPLEXITY:

SOC 2 Type II mandatory (can't sell enterprise without it)
GDPR if EU (€20M fines for violations)
HIPAA if health benefits (healthcare data)
ISO 27001 for global enterprise
Legal review of ALL competitive claims

Quarterly Research Cadence (HR Tech Specific)

Q1: Compliance Competitive Benchmark

RESEARCH QUESTION: How do we compare on compliance/security?
COMPETITOR COMPLIANCE AUDIT:
For top 10 competitors, research:
□ SOC 2 Type II: Do they have it? (check website)
□ ISO 27001: Certified? (check trust center)
□ GDPR: Do they serve EU? Compliant?
□ HIPAA: Do they handle health data?
□ State-specific: CA CCPA, NY SHIELD Act?
COMPLIANCE GAP ANALYSIS:
Workday: SOC 2, ISO 27001, GDPR, HIPAA ✅✅✅✅
BambooHR: SOC 2, GDPR ✅✅
Culture Amp: SOC 2, GDPR ✅✅
Us: SOC 2, GDPR ✅✅
Gap: Need ISO 27001 for global enterprise
INVESTMENT NEEDED:

ISO 27001 certification: $50K-100K + 9-12 months
HIPAA compliance: $30K-60K + 6 months
Ongoing compliance: $200K/year (team + audits)

BOARD DELIVERABLE:
"Compliance Competitive Analysis & Investment Recommendation"

Q2: M&A Target Analysis (HR Tech Module Strategy)

HR TECH M&A IS DIFFERENT:
SALES TECH M&A:

Acquire competitors for market share
Acquire complementary tech (e.g., Gong buying Forecast)

HR TECH M&A:

Acquire modules to become platform
Example: UKG acquired Ultimate + Kronos
Example: iCIMS acquired TextRecruit, Jobvite

ACQUISITION THESIS:
We're strong in: Employee Engagement
Missing modules: Performance Management, Learning, Recruiting
TARGET IDENTIFICATION:
□ Performance Management startups (Series A-B)

Small Improvements
Reflektive (acquired by Lumin)
7Geese (acquired by Paycor)

□ Learning platforms (Series A-B)

EdApp
TalentLMS
[Smaller players]

DUE DILIGENCE (HR Tech Specific):
□ Customer overlap: Would acquisition cause churn?
□ Data portability: Can we migrate customer data?
□ Compliance transfer: Do their certifications transfer?
□ HR community perception: Would acquisition be well-received?
VALUATION BENCHMARKS:

HR Tech M&A multiples: 8-15× ARR (higher than Sales Tech)
Why: Sticky (hard to switch), compliance moats, relationship-driven

Q3: Analyst Relations & Industry Positioning

HR TECH ANALYSTS (Different from Sales Tech):
PRIMARY ANALYSTS:
□ Gartner (HCM Magic Quadrant)
□ Forrester (Employee Experience Wave)
□ Nucleus Research (ROI-focused)
□ Bersin/Josh Bersin (HR thought leader, not traditional analyst)
ANALYST RELATIONS STRATEGY:

Quarterly briefings (share roadmap, customer wins)
Annual Gartner MQ participation (if eligible)
Sponsor research: "State of Employee Engagement 2026"
Speaking: HR Tech Conference, Josh Bersin events

CERTIFICATION REQUIREMENTS (HR Tech):

SHRM Preferred Provider (HR credibility)
Brandon Hall Excellence Awards (industry recognition)
Great Place to Work Certified (practice what you preach)

WHY THIS MATTERS IN HR TECH:
HR buyers trust:

Peer recommendations (other CHROs)
Analyst reports (Gartner, Forrester)
Industry associations (SHRM)
Awards/recognition

Sales Tech buyers trust:

Product trials (test it yourself)
Peer reviews (G2)
ROI data (does it work?)

Q4: IPO Readiness / Market Positioning

PUBLIC HR TECH COMPARABLES:
PUBLIC COMPANIES:

Workday (HCM platform, $60B+ market cap)
UKG (private equity, not pure public comp)
Paycom, Paylocity (payroll + HR)
ADP (payroll giant, legacy)

RECENT IPOs:

[Research recent HR Tech IPOs]

BENCHMARKING METRICS:
□ ARR growth (us vs public comps)
□ Net revenue retention (target: >110%)
□ Gross margin (target: >75% for SaaS)
□ Operating margin (path to profitability)
□ Customer retention (critical in HR Tech)
HR TECH SPECIFIC METRICS:
□ Employees under management (how many employees use your platform)
□ Customer company size (SMB vs Enterprise mix)
□ Module adoption (single vs multi-module customers)
□ CSAT/NPS (relationship-driven, loyalty matters)
INVESTOR NARRATIVE:
"Employee Engagement Platform for Mid-Market
Trusted by 800 companies, 250,000 employees
Net retention 118%, Rule of 40 compliant
Path to profitability in 18 months"

HR Tech Series C+ Tool Stack

ANNUAL BUDGET: $120K-180K
MUST-HAVE:
□ Gartner ($40K-60K/year)
→ REQUIRED for HR Tech (buyers check Gartner)
□ Compliance tools ($30K-50K/year)
→ Vanta (SOC 2 automation)
→ Drata (compliance monitoring)
→ OneTrust (privacy management)
□ Klue or Crayon ($20K-30K/year)
→ Competitive monitoring
□ Custom Research ($30K-50K/year)
→ Commission "State of HR Tech" reports
→ SHRM partnership research
INDUSTRY-SPECIFIC:
□ SHRM Membership + Conference ($5K-10K/year)
→ HR community intelligence, networking
□ Josh Bersin Academy ($15K/year)
→ HR thought leadership, industry insights
TOTAL: $140K-200K/year

📊 SECTION C: FINTECH COMPETITIVE INTELLIGENCE

When To Use This Section:

Your product: Payments, expense management, corporate cards, payroll, neo-banking
Your competitors: Razorpay, Paytm, PhonePe (India), Stripe, Brex, Ramp (US)
Your buyers: CFOs, Finance leaders, Controllers
Your go-to-market: Sales-led (finance is risk-averse)
CRITICAL: Highly regulated industry, compliance-first

C1: Fintech @ Series A (Conservative, Compliance-First)

Your Reality Check:

COMPANY PROFILE:
- Size: $2M-8M ARR, 20-100 employees
- Stage: Series A
- You: Founder (often ex-finance/banking background)
- Budget: $0-500/month (compliance eats budget)
- Regulatory: RBI licensed or applying for license (India)

FINTECH IS FUNDAMENTALLY DIFFERENT

Critical Differences from Sales Tech / HR Tech:

SALES TECH:
✅ Can be aggressive
✅ Fast experimentation
✅ Attack competitors
✅ Share metrics openly
Risk: Low (worst case: lose customers)
HR TECH:
⚠️ Must be professional
⚠️ Cannot attack competitors
⚠️ Relationship-driven
Risk: Medium (people data sensitive)

FINTECH:
🔴 MUST be conservative
🔴 NEVER attack competitors (could trigger regulatory review)
🔴 CANNOT share metrics without legal approval
🔴 CANNOT make unverified claims (financial advertising rules)
Risk: EXTREME (regulatory fines, license revocation, criminal liability)

Fintech Regulatory Landscape (India)

Before ANY Competitive Research, Understand:

INDIA FINTECH REGULATIONS:
RBI (Reserve Bank of India):
□ Payment Aggregator License (if processing payments)
□ NBFC License (if lending)
□ Prepaid Payment Instrument (PPI) License (wallets)
□ Account Aggregator License (financial data)
Compliance Requirements:
□ KYC (Know Your Customer) - mandatory
□ AML (Anti-Money Laundering) - mandatory
□ Data Localization (store data in India)
□ RBI reporting (monthly/quarterly)
CONSEQUENCES OF NON-COMPLIANCE:

License suspension or revocation
₹1 crore+ fines
Criminal charges (directors liable)
Cannot process transactions (business shutdown)

THIS CHANGES COMPETITIVE RESEARCH:

Cannot share user transaction data
Cannot make unverified ROI claims
Cannot criticize competitors publicly
Legal review MANDATORY for all competitive claims

Series A Fintech Research: Ultra-Conservative

Week 1: Competitive Landscape (Regulatory Lens)

DAY 1-2: License & Compliance Mapping
FOR EACH COMPETITOR:
□ What licenses do they have? (check RBI website)
□ Are they compliant? (any RBI actions against them?)
□ How long did licensing take? (timeline for us)
□ What compliance do they highlight? (trust signals)
INDIA FINTECH COMPETITORS:
EXPENSE MANAGEMENT:

Happay (CRED acquired, ₹180M exit)
Zoho Expense (Zoho suite)
Fyle (Series B, expense automation)

CORPORATE CARDS:

EnKash (RBI-licensed)
Volopay (Singapore-based, India operations)
Pazcare (expense + benefits)

PAYMENT PROCESSING:

Razorpay (unicorn, payment gateway)
Cashfree (payment aggregator)
PayU (Naspers-owned)

COMPLIANCE COMPETITIVE INTEL:
Company | RBI License | SOC 2 | ISO 27001 | PCI DSS | Data Localization
Razorpay | ✅ PA | ✅ | ✅ | ✅ | ✅
Happay | ✅ | ✅ | ✅ | ✅ | ✅
[Us] | ⏳ Applying | ❌ | ❌ | ⏳ | ✅
GAP: Need SOC 2, ISO 27001 before enterprise sales
Timeline: 12-18 months for full compliance stack
DAY 3-4: Conservative Pricing Research
FINTECH PRICING CHALLENGES:

Often bundled (hard to compare)
Enterprise pricing hidden
Regulatory fees not disclosed
Transaction-based + subscription hybrid

RESEARCH SOURCES (Fintech-Safe):
□ Public websites (pricing pages if available)
□ G2 reviews mentioning price (user-reported, safe to cite)
□ Press releases (funding announcements mention ACV)
□ Your own customer interviews (first-party data, compliant)
WHAT YOU CANNOT DO:
❌ Scrape competitor pricing from private dashboards
❌ Pose as customer to get pricing (fraud)
❌ Use competitor's confidential data
PRICING BENCHMARKS (India Expense Management):

Happay: ₹150-300/employee/month (from reviews)
Zoho: ₹100-200/employee/month
Fyle: ₹200-400/employee/month

YOUR POSITIONING:
"Compliant expense management for Indian SMBs
₹150-250/employee/month"
NOT: "50% cheaper than Happay" (unless verified and legal-approved)
DAY 5: Positioning (Risk-Averse, Compliance-First)
FINTECH POSITIONING PRINCIPLES:
✅ DO EMPHASIZE:

"RBI-compliant" (if licensed)
"Bank-grade security"
"SOC 2 certified" (if have it)
"Trusted by [X] companies"
"Backed by [reputable investors]"

❌ NEVER SAY:

"Better than [Competitor]"
"Competitor X has security issues"
"Fastest-growing fintech" (unless verified by 3rd party)
"Save [X]%" (unless calculated, disclosed methodology)

EXAMPLE POSITIONING:
"RBI-Compliant Expense Management for Indian SMBs
Bank-grade security, SOC 2 certified, trusted by 500+ companies"
CONSERVATIVE BATTLE CARD:

┌─────────────────────────────────────────────┐
│ VS. HAPPAY (CRED-Acquired Incumbent)        │
├─────────────────────────────────────────────┤
│ WHEN THEY COME UP:                          │
│ • Enterprise deals (their strength)         │
│ • CRED ecosystem (card + expense bundled)   │
│                                             │
│ RESPECTFUL POSITIONING:                     │
│ ✅ "Happay is excellent for enterprise      │
│     We focus on SMB (50-500 employees)"     │
│ ✅ "Both of us are RBI-compliant            │
│     We offer more flexible pricing for SMB" │
│ ✅ "Great product with strong backing       │
│     We provide hands-on support for growing │
│     finance teams"                          │
│                                             │
│ NEVER SAY (Legal Risk):                     │
│ ❌ "Happay is too expensive"                 │
│ ❌ "Happay has compliance issues"            │
│ ❌ "We're more secure than Happay"           │
│ ❌ "Customers switch from Happay to us"      │
│    (unless you have written testimonials)   │
│                                             │
│ WHY EXTREME CAUTION:                        │
│ - Fintech community is tiny in India       │
│ - CRED is well-connected (Kunal Shah)      │
│ - Negative positioning could trigger legal  │
│ - RBI scrutiny if public mudslinging       │
│ - Potential partnership/acquisition target  │
└─────────────────────────────────────────────┘

Fintech Series A: Compliance-First Tool Stack

MONTHLY BUDGET: $0-300 (Compliance Budget is Separate)
RESEARCH TOOLS:
□ Google Search (free)
□ LinkedIn (free)
□ RBI website (free, license verification)
□ G2 Fintech categories (free tier)
COMPLIANCE TOOLS (Separate Budget):
□ Vanta or Drata ($3K-5K/month) - SOC 2 automation
□ Legal counsel ($5K-10K/month retainer) - Regulatory
□ Compliance officer (hire, $50K-80K/year)
NOTE: Fintech compliance costs >> research costs
Early-stage fintech spends more on compliance than marketing

C2: Fintech @ Series B (Strategic Compliance + Expansion)

Your Reality Check:

COMPANY PROFILE:
- Size: $15M-40M ARR, 200-500 employees
- Stage: Series B, expanding product lines or geography
- You: Product Marketing Manager or Strategy Lead
- Budget: $3K-8K/month for research
- Compliance: Fully licensed, SOC 2, considering ISO 27001

Series B Fintech Research Questions:

TYPICAL SERIES B QUESTIONS:
SALES TECH @ SERIES B:
"Should we move upmarket?"
"Should we expand to US?"
HR TECH @ SERIES B:
"Should we add performance module?"
"Can we serve enterprise?"

FINTECH @ SERIES B:
"Should we apply for lending license?" (NBFC)
"Can we expand to UAE/Singapore?" (different regulators)
"Should we launch corporate cards?" (new product = new compliance)
"Can we partner with banks?" (co-branding, regulatory implications)

Week 1-2: Regulatory Expansion Analysis

RESEARCH FOCUS: New Product Line = New Regulations
SCENARIO: We do expense management, want to add corporate cards
COMPLIANCE RESEARCH:
□ What additional licenses needed? (RBI: PPI license)
□ What do competitors have? (Check EnKash, Volopay licenses)
□ Timeline to get license? (12-18 months for PPI)
□ Compliance costs? (₹50L-1Cr for license + ongoing)
□ Risk? (if license denied, wasted investment)
COMPETITOR LICENSE MAPPING:
Company | Expense Mgmt | Corporate Cards | Lending | Payroll
Happay | ✅ | ✅ (via CRED) | ❌ | ❌
EnKash | ✅ | ✅ RBI PPI | ❌ | ❌
Volopay | ✅ | ✅ Singapore | ❌ | ❌
[Us] | ✅ | ⏳ Want | ❌ | ❌
STRATEGIC ANALYSIS:
Option 1: Build in-house (12-18 months, ₹1-2Cr investment)
Option 2: Partner with licensed issuer (faster, lower risk)
Option 3: Acquire competitor with license (expensive, fast)
RECOMMENDATION: Partner while applying for license (hybrid approach)

Geographic Expansion: India → UAE/Singapore

RESEARCH QUESTION: Should we expand beyond India?
REGULATORY COMPARISON:
INDIA (RBI):

License types: PA, PPI, NBFC, AA
Timeline: 12-24 months per license
Difficulty: High (stringent requirements)
Data: Must be localized in India
Language: English + local languages

UAE (DFSA, ADGM):

License: Payment Services License
Timeline: 6-12 months
Difficulty: Medium (easier than India)
Data: Can be in UAE or secure cloud
Language: English + Arabic

SINGAPORE (MAS):

License: Payment Services License
Timeline: 6-9 months
Difficulty: Medium-Low (clear process)
Data: Can be anywhere (cloud-friendly)
Language: English

COMPETITOR EXPANSION PATTERNS:
Razorpay:

India (2014) → Malaysia (2019) → Not very successful outside India

Cashfree:

India-focused, minimal international

Volopay:

Singapore-first → India expansion
Dual regulatory compliance

MARKET SIZING (UAE Corporate Spend):
Bottom-up:

SMBs in UAE: ~50,000 companies
Corporate card TAM: $200-300M
vs India: $1.5-2B (5-7× larger)

RECOMMENDATION:
India market still underpenetrated
Focus on India until $50M ARR, then expand
Exception: If UAE investor insists or strategic partnership

C3: Fintech @ Series C+ (Regulatory Affairs + Strategic Intelligence)

Your Reality Check:

COMPANY PROFILE:
- Size: $60M+ ARR, 600+ employees
- Stage: Series C/D, IPO-track
- Team: Regulatory Affairs (5+ FTE), Strategy (3+ FTE)
- Budget: $150K-300K/year (heavy compliance)
- Stakeholders: Board, RBI, Investors, Legal

Series C+ Fintech: Regulatory-First Intelligence

QUARTERLY CADENCE:
Q1: Regulatory Landscape Monitoring

RBI policy changes (monthly review)
Competitor license applications (public RBI data)
Global fintech regulations (learnings from US, EU, Singapore)
Compliance incidents (any RBI actions against competitors?)

Q2: M&A / Partnership Analysis

Acquisition targets (licensed competitors)
Bank partnerships (co-branding opportunities)
Strategic investors (financial institutions)

Q3: IPO Readiness / Public Market Comparables

Public fintech benchmarking (Paytm, PolicyBazaar)
Compliance audit (pre-IPO regulatory review)
Investor narrative (growth + compliance story)

Q4: Strategic Planning / Board Reporting

Market position vs competitors
Regulatory moat analysis
5-year strategic roadmap

Fintech M&A: License Arbitrage

FINTECH M&A STRATEGY:
ACQUISITION THESIS:
"Buy licenses, not just customers"
EXAMPLE:

Target: Small expense management company
Value: Not their $2M ARR
Value: Their RBI Payment Aggregator license (saved us 18 months)

TARGET CRITERIA:
□ RBI-licensed (PA, PPI, NBFC, or AA)
□ Compliant (no regulatory actions)
□ Reasonable valuation (5-10× ARR)
□ Customer base transferable
□ Technology integrable
DUE DILIGENCE (Fintech-Specific):
□ License transfer feasibility (RBI approval required)
□ Compliance history (any RBI warnings?)
□ Data security audit (SOC 2, ISO 27001)
□ Customer data migration (regulatory compliant?)
□ Integration complexity (core banking system compatibility)
RECENT INDIA FINTECH M&A:

CRED acquired Happay ($180M) - strategic fit
Pine Labs acquiring Qfix - licensing play
BillDesk acquired by PayU (not completed - regulatory)

Fintech Series C+ Tool Stack

ANNUAL BUDGET: $180K-300K
REGULATORY INTELLIGENCE:
□ Legal counsel retainer ($150K-250K/year)
→ Regulatory monitoring, compliance advice
□ Compliance platform ($40K-60K/year)
→ Vanta, Drata, OneTrust
□ Industry associations ($10K-20K/year)
→ IAMAI (Internet and Mobile Association of India)
→ NPCI participation
COMPETITIVE INTELLIGENCE:
□ Crunchbase Pro ($29/mo × 12 = $348/year)
□ LinkedIn Sales Navigator ($99/mo × 12 = $1,188/year)
□ Custom research ($30K-50K/year)
→ Commission "State of Indian Fintech" reports
TOTAL: $230K-340K/year
(Note: Fintech invests more in compliance than competitive intel)

📊 SECTION D: OPERATIONS TECH COMPETITIVE INTELLIGENCE

When To Use This Section:

Your product: Retail execution, logistics, field force automation, route optimization
Your competitors: FieldAssist, Bizom, Ivy Mobility (India), Repsly (US)
Your buyers: Sales leaders, Operations leaders at CPG/FMCG companies
Your go-to-market: Enterprise sales (long cycles, pilots)
B2B2C Complexity: You serve businesses who serve consumers

D1: Operations Tech @ Series A (India Retail Focus)

Your Reality Check:

COMPANY PROFILE:
- Size: $1M-5M ARR, 15-60 employees
- Stage: Series A
- You: Founder (ex-CPG/FMCG or SaaS)
- Market: India retail/distribution (Kirana stores, distributors)
- Budget: $0-300/month

Operations Tech is DIFFERENT from Sales/HR/Fintech:

SALES TECH:
- Buyer: Sales leader at B2B SaaS company
- User: SDRs, AEs at SaaS company
- Use case: Internal sales productivity
HR TECH:

Buyer: CHRO at any company
User: HR team + all employees
Use case: Internal employee management

FINTECH:

Buyer: CFO at any company
User: Finance team + employees
Use case: Internal financial operations

OPERATIONS TECH (Retail Execution):

Buyer: Sales/Ops leader at CPG/FMCG company
User: Field sales reps visiting retail stores
Use case: Manage distributor → retailer → consumer flow
COMPLEXITY: B2B2B2C (You → CPG → Distributor → Retailer → Consumer)

India Retail Landscape (Critical Context):

MARKET STRUCTURE:
Modern Trade (Organized Retail):

Big Bazaar, Reliance Retail, DMart, Walmart-owned stores
~10% of market
Sophisticated (already use some tech)

General Trade (Traditional Retail):

Kirana stores (12M+ stores in India)
~90% of market
Unsophisticated (paper-based, WhatsApp)

Distribution Network:

CPG companies (HUL, ITC, Nestle, Dabur)
↓
Distributors (C&F agents, stockists)
↓
Retailers (kirana stores)
↓
Consumers

YOUR PRODUCT SERVES:
CPG field teams visiting distributors and retailers
Goal: Ensure product availability, pricing, promotions, merchandising

Series A Operations Tech Research: 5-Day Sprint

DAY 1-2: Competitive Landscape (India-Specific)

INDIA OPERATIONS TECH COMPETITORS:
RETAIL EXECUTION:

FieldAssist (market leader, Series B)
Bizom (Accel-backed, strong in South India)
Ivy Mobility (Tiger Global-backed)
Mobile Force (niche player)

LOGISTICS/DISTRIBUTION:

Locus (route optimization)
LogiNext (delivery management)
FarEye (logistics visibility)

ADJACENT (Distributors):

Khatabook, OkCredit (distributor accounting)
Udaan (B2B marketplace for retailers)

COMPETITIVE MAPPING:
Company | Focus | Geography | Stage | Customers
FieldAssist | Retail execution | Pan-India | Series B | HUL, ITC, Dabur
Bizom | Retail execution | South India | Series B | Nestle, Coca-Cola
Ivy | Retail execution | Pan-India | Series B | Britannia, Godrej
[Us] | [Your focus] | [Region] | Series A | [Your customers]
DAY 3: Customer Type Analysis (Critical for Operations Tech)
OPERATIONS TECH BUYERS (Complex):
TIER 1: MNC CPG (Unilever, P&G, Nestle)

Deal size: ₹50L-2Cr annually
Sales cycle: 9-18 months (pilots + procurement)
Decision: Centralized (global/India HQ)
Tech sophistication: High (RFP process, integrations)
Reference customers: Required (won't be first)

TIER 2: Large Indian CPG (Dabur, Emami, Parle)

Deal size: ₹20L-80L annually
Sales cycle: 6-12 months (pilots)
Decision: India leadership
Tech sophistication: Medium
Price sensitivity: Higher than MNC

TIER 3: Mid-Market CPG (Regional brands)

Deal size: ₹5L-20L annually
Sales cycle: 3-6 months
Decision: Founder/promoter
Tech sophistication: Low
Price sensitivity: Very high

YOUR POSITIONING (Series A):
Focus on Tier 2-3 (Indian CPG, regional brands)
Tier 1 requires references you don't have yet
Build case studies, then move upmarket to Tier 1
DAY 4-5: Feature Analysis (Ops Tech Specific)
RETAIL EXECUTION CORE FEATURES:
MUST-HAVE (Table Stakes):
□ Offline-first (field reps in no-network areas)
□ Attendance/GPS tracking (proof of visit)
□ Store audit (planogram compliance, stock check)
□ Order capture (retailers order via rep's app)
□ Image recognition (AI to verify shelf placement)
□ Beat planning (route optimization)
□ Multi-language (Hindi, regional languages)
DIFFERENTIATORS:
□ Distributor app (not just field team app)
□ Retailer app (direct ordering)
□ Analytics dashboard (for CPG management)
□ WhatsApp integration (retailers use WhatsApp)
□ UPI payments (collect payments in field)
COMPETITOR FEATURE COMPARISON:
Feature | FieldAssist | Bizom | Ivy | [Us]
Offline app | ✅ | ✅ | ✅ | ✅
Image AI | ✅ | ✅ | ⚠️ | ✅
Distributor app | ✅ | ⚠️ | ❌ | ✅ (our edge!)
WhatsApp | ⚠️ | ❌ | ❌ | ✅ (our edge!)
Multi-language | ✅ | ✅ | ✅ | ✅
POSITIONING:
"FieldAssist for mid-market CPG
With distributor app + WhatsApp integration
At 50% of the price"

Operations Tech Positioning (India Context):

POSITIONING CONSIDERATIONS:
GEOGRAPHY MATTERS:

North India: Different retail patterns than South
South India: More organized, English-comfortable
East India: Traditional retail dominant
West India: Mix of modern + traditional

LANGUAGE MATTERS:

Field reps: Hindi + regional language required
Retailers: Regional language + broken Hindi/English
Management: English dashboards

PRICE MATTERS:

MNC CPG: Will pay global prices (₹50L-2Cr)
Indian CPG: Price-sensitive (₹10L-30L)
ROI-driven: "If we increase distribution by 5%, savings = ₹X"

MOBILE-FIRST REALITY:

Field reps have smartphones (Xiaomi, Samsung)
4G coverage patchy (need offline-first)
WhatsApp is primary communication tool

D2: Operations Tech @ Series B (Pan-India Expansion)

Your Reality Check:

COMPANY PROFILE:
- Size: $5M-15M ARR, 80-300 employees
- Stage: Series B
- You: VP Product Marketing or Strategy
- Customers: 20-40 CPG companies (mostly Tier 2-3)
- Geography: Strong in 1-2 regions, expanding pan-India
- Goal: Win Tier 1 customers (HUL, ITC, Nestle)

Series B Operations Tech: Moving Upmarket

RESEARCH QUESTION: How to win Tier 1 CPG customers?

COMPETITIVE ANALYSIS: What does Tier 1 need?
FIELDASSIST WINS TIER 1 BECAUSE:
□ Track record (5+ years, 100+ customers)
□ References (other Tier 1 customers)
□ Scale (handles 50,000+ field reps)
□ Integrations (SAP, Oracle, Salesforce)
□ Security (SOC 2, ISO 27001, data centers in India)
□ Support (dedicated account team, 24×7)
□ Customization (enterprise workflows)
OUR GAPS:
❌ No Tier 1 references (chicken-egg problem)
❌ Not battle-tested at scale (max 5,000 reps)
❌ Limited integrations (no SAP connector yet)
❌ No SOC 2 (need 12 months)
❌ Small support team (can't dedicate account team)
PATH TO TIER 1:
STEP 1: Win Regional Tier 1 (6-12 months)

Target: Large regional brand (e.g., MTR Foods, Haldiram)
Size: 2,000-5,000 field reps (test our scale)
Benefit: Build scale story, get enterprise reference

STEP 2: Get SOC 2 + ISO 27001 (12 months parallel)

Investment: ₹40L-60L
Benefit: Meet enterprise security requirements

STEP 3: Build SAP Connector (6 months)

Why: Tier 1 CPG uses SAP for distribution
Investment: 2 engineers × 6 months
Benefit: Integration with Tier 1 systems

STEP 4: Pilot with Tier 1 (12-18 months)

Approach: Regional pilot first (one state)
If successful: Pan-India rollout
Timeline: Total 24-36 months from Series B to Tier 1 win

D3: Operations Tech @ Series C+ (Category Leadership)

Your Reality Check:

COMPANY PROFILE:
- Size: $20M+ ARR, 300+ employees
- Stage: Series C/D
- Team: Strategy (3 FTE), Product Marketing (5 FTE)
- Customers: 60-100 CPG companies including Tier 1 logos
- Goal: Category leadership, potential IPO/acquisition

Strategic Intelligence: India Retail Tech

QUARTERLY RESEARCH:
Q1: Retail Tech M&A Landscape

Potential acquirers: Salesforce, Oracle, SAP, Accel portfolio consolidation
Acquisition targets: Adjacent tech (distributor management, route optimization)

Q2: Retail Digitization Trends

Kirana digitization pace (Reliance JioMart impact)
Quick commerce impact on distribution (Swiggy Instamart, Blinkit)
D2C brands (bypassing traditional distribution)

Q3: Competitive Consolidation

Watch: FieldAssist, Bizom, Ivy potential mergers
Opportunity: Acquire smaller regional players

Q4: IPO Readiness

Public comps: Limited (Indian SaaS IPOs rare)
Path: Private equity or acquisition more likely than IPO

🔄 CROSS-CUTTING: UNIVERSAL FRAMEWORKS

Master Decision Tree: Finding Your Research Path

START: What industry vertical?
├─ SALES TECH
│  ├─ Series A ($1M-10M ARR)
│  │  ├─ India market → Section A1 (3-day sprint, free tools)
│  │  └─ US market → Section A1 (adapt competitor set)
│  ├─ Series B ($10M-50M ARR)
│  │  ├─ Moving upmarket? → Section A2 (upmarket research)
│  │  ├─ Geographic expansion? → Section A2 (expansion analysis)
│  │  └─ Competitive positioning? → Section A2 (win/loss)
│  └─ Series C+ ($50M+ ARR)
│     ├─ M&A targets? → Section A3 (M&A analysis)
│     ├─ IPO prep? → Section A3 (public comps)
│     └─ Board reporting? → Section A3 (quarterly intelligence)
│
├─ HR TECH
│  ├─ Series A → Section B1 (conservative positioning, compliance-first)
│  ├─ Series B → Section B2 (module expansion, upmarket)
│  └─ Series C+ → Section B3 (compliance benchmark, analyst relations)
│
├─ FINTECH
│  ├─ Series A → Section C1 (regulatory landscape, ultra-conservative)
│  ├─ Series B → Section C2 (new products = new licenses, geographic expansion)
│  └─ Series C+ → Section C3 (M&A for licenses, IPO readiness)
│
└─ OPERATIONS TECH
├─ Series A → Section D1 (India retail focus, distributor dynamics)
├─ Series B → Section D2 (Tier 1 enterprise, pan-India)
└─ Series C+ → Section D3 (category leadership, M&A)

Geography-Specific Research Playbooks

India Market Research

Unique Characteristics:

PRICE SENSITIVITY:
- US SaaS price × 0.3-0.5 = India acceptable price
- Example: Gong $20K/year (US) vs Wingman $8K/year (India)
- Reason: Lower ARPUs, PPP differences, budget constraints
DECISION MAKING:

Founder-led at SMB (faster decisions, 1-3 months)
Cost-conscious at all stages
References matter MORE (tight-knit community)

COMPETITION:

Local players (Darwinbox, FieldAssist, Razorpay)
Global players entering India (Gong, Lattice, Stripe)
Price advantage = key differentiator for local players

DATA SOURCES (India-Specific):
□ Inc42 (Indian startup news)
□ Economic Times Tech (industry coverage)
□ SaaSBoomi community (B2B SaaS founders)
□ Yourstory (startup ecosystem)
□ TracxN (Indian company database)
□ VCCEdge (VC funding data)
MARKET SIZING (India):

LinkedIn Sales Navigator (India filter)
Crunchbase (India + B2B SaaS)
Government data: MCA filings (ROC)
Industry reports: NASSCOM, RedSeer

LANGUAGE CONSIDERATIONS:

Sales/marketing: English
Product: English + Hindi (minimum)
Support: Hindi + regional languages (Tamil, Telugu, Bengali)

US Market Research

Unique Characteristics:

PRICE TOLERANCE:
- 2-3× higher than India
- Willing to pay for premium if ROI clear
- Example: Gong $20K-50K annual, accepted
DECISION MAKING:

Slower, committee-driven (3-9 months)
ROI-driven (need calculators, case studies)
Due diligence intensive (security, references)

COMPETITION:

Crowded (100+ competitors in each category)
Well-funded (VCs: Sequoia, a16z, etc.)
Category leaders dominant (Gong, Lattice, Stripe)

DATA SOURCES (US-Specific):
□ Crunchbase (US venture funding)
□ G2 (US buyers dominate reviews)
□ TechCrunch (US tech news)
□ SaaStr (B2B SaaS community)
□ Product Hunt (US launches)
MARKET SIZING (US):

LinkedIn Sales Navigator (US filters)
Census data (company counts)
Industry associations (SIA for HR Tech, etc.)
Analyst reports (Gartner, Forrester)

COMPLIANCE:

SOC 2 Type II (required for enterprise)
GDPR if serving EU customers
State-specific: CCPA (California), SHIELD Act (NY)

Worked Examples: Multi-Dimensional Scenarios

Example 1: Sales Tech Founder, Series A, India → US Expansion

SCENARIO:
- Company: AI sales coaching, $3M ARR, 35 employees
- Stage: Series A (just raised $5M)
- Current: 50 customers in India (SMB B2B SaaS)
- Question: "Should we expand to US now or wait?"
RESEARCH PLAN:
WEEK 1: US Market Landscape
□ Identify US competitors (Gong, Chorus, Revenue.io)
□ Price benchmarking (3-4× higher than India)
□ Customer interviews (5 US sales leaders)
□ Question: "Would you buy from India-based company?"
WEEK 2: Go/No-Go Analysis
PROS (Go to US):
✅ 7× larger market (15K SMB SaaS vs 2K in India)
✅ Higher ACVs ($10K-20K vs $3K-5K in India)
✅ Less competitive at SMB (Gong focuses on enterprise)
✅ Investors want US traction
CONS (Wait):
❌ Need US team (sales, support = $300K-500K/year)
❌ Brand unknown (India success doesn't transfer)
❌ Time zone challenge (India team supporting US customers)
❌ Payment processing (Stripe US vs India)
❌ India market still underpenetrated (2K companies, only 50 customers)
CALCULATION:
US Expansion Cost Year 1: $500K (team + marketing)
India Deepening Cost Year 1: $200K (same team)
US Upside: 10 customers × $15K = $150K ARR
India Upside: 30 customers × $4K = $120K ARR
ROI: Similar, but India has less execution risk
RECOMMENDATION: Focus India until $10M ARR
Reason:

Still early in India (50/2000 = 2.5% penetration)
US requires significant investment
India market understands our pain points better
Build case studies in India first, then leverage for US

EXCEPTION: If US strategic investor leads Series B, then expand

Example 2: HR Tech PMM, Series B, Module Expansion Decision

SCENARIO:
- Company: Employee engagement platform, $18M ARR
- Stage: Series B (400 customers, mid-market focus)
- Current: Just engagement surveys + pulse
- Question: "Add performance management or recruiting module?"
RESEARCH PLAN (2 Weeks):
COMPETITIVE ANALYSIS:
Performance Management:
□ Competitors: Lattice, 15Five, BetterUp
□ Market: Crowded but growing
□ Customer need: 67% of customers ask for it (from surveys)
□ Build vs Buy: 12 months to build, or acquire for $10M-20M
□ Cannibalization: Low (complements engagement)
Recruiting:
□ Competitors: Lever, Greenhouse, Ashby
□ Market: Very crowded, strong incumbents
□ Customer need: 31% ask for it
□ Build vs Buy: 18 months to build, complex
□ Cannibalization: Medium (different buyer - TA vs HR)
WIN/LOSS ANALYSIS:
Interviewed 20 customers:

Lost 8 deals to Lattice (reason: "Wanted engagement + performance")
Lost 2 deals to Greenhouse (reason: "Recruiting was priority")

CUSTOMER SURVEYS:
"If we added one module, which would you want?"

Performance management: 68%
Recruiting: 23%
Learning & development: 9%

DECISION: Build Performance Management
Reason:

Higher customer demand (68% vs 23%)
Reduces churn to Lattice
Easier to build (12 vs 18 months)
Natural adjacency (same buyer = CHRO)
Recruiting too competitive (Lever, Greenhouse mature)

IMPLEMENTATION:

Timeline: 12 months to launch
Investment: $800K-1.2M (4 engineers × 12 months)
Go-to-market: Existing customers first (upsell)
Pricing: +$2/employee/month for performance add-on

Example 3: Fintech CMO, Series C, M&A Target Identification

SCENARIO:
- Company: Corporate expense management, $45M ARR
- Stage: Series C (preparing for Series D/IPO)
- Current: Expense management only, want to expand
- Board directive: "Acquire complementary fintech to become platform"
RESEARCH PLAN (4 Weeks):
WEEK 1: Define Acquisition Thesis
Options:

Corporate cards (compete with EnKash, Volopay)
Payroll (compete with Razorpay Payroll, Zoho)
Procurement (compete with Procol, Kissflow)

STRATEGIC FIT ANALYSIS:
Corporate Cards:
□ Customer overlap: High (95% of customers want cards)
□ Revenue synergy: High (attach rate 70-80%)
□ Regulatory: Need RBI PPI license (or acquire licensed)
□ Competition: Medium (EnKash, Volopay)
Payroll:
□ Customer overlap: Medium (60% have <200 employees)
□ Revenue synergy: Medium (attach rate 40-50%)
□ Regulatory: Complex (state labor laws, compliance)
□ Competition: High (Razorpay, Zoho, many others)
Procurement:
□ Customer overlap: Low (30% need procurement)
□ Revenue synergy: Low (attach rate 20-30%)
□ Regulatory: Minimal
□ Competition: Low (early market)
DECISION: Acquire Corporate Cards Player
Reason: Highest customer overlap + revenue synergy
WEEK 2-3: Target Identification
TARGET CRITERIA:
□ RBI PPI licensed (saves us 18 months)
□ $5M-15M ARR (affordable at $40M-100M valuation)
□ 1,000-5,000 cards issued (proof of concept)
□ Complementary customer base (not too much overlap)
□ Strong technology (can integrate in 6 months)
TARGET SHORTLIST:

Company A: $8M ARR, RBI licensed, 3,000 cards
Company B: $12M ARR, not licensed (partner model)
Company C: $6M ARR, RBI licensed, 2,000 cards

WEEK 4: Due Diligence (Company A)
LICENSE VERIFICATION:
□ RBI PPI license: Valid until 2027 ✅
□ Compliance record: Clean (no RBI actions) ✅
□ License transferable: Yes (with RBI approval, 3-6 months) ✅
CUSTOMER ANALYSIS:
□ Total customers: 180
□ Overlap with us: 15 customers (8%)
□ Customer retention: 89% (good)
□ Average cards per customer: 17 cards
TECHNOLOGY:
□ Core platform: Modern (Node.js, AWS)
□ Integration complexity: Medium (6-9 months)
□ Technical debt: Manageable
VALUATION:
□ ARR: $8M
□ Growth: 120% YoY
□ Burn: $800K/month
□ Asking price: 8-10× ARR = $64M-80M
□ Our offer: $60M (7.5× ARR)
RECOMMENDATION: Acquire Company A for $60M
Synergy case:

Year 1: Upsell cards to our 1,200 customers
Attach rate assumption: 40%
New ARR: 480 customers × $15K avg = $7.2M
Acquisition pays for itself in 8-10 years (vs building = 18 months delay)

Common Research Mistakes & How to Avoid Them

Mistake 1: "Industry-Agnostic Research" (One-Size-Fits-All)

WRONG APPROACH:
"I'll use the same battle card template for Sales Tech, HR Tech, and Fintech"
WHY IT FAILS:

Sales Tech: Can be aggressive ("We're 10× cheaper than Gong")
HR Tech: Must be professional ("We're built for mid-market")
Fintech: Must be conservative ("Both of us are RBI-compliant...")

CORRECT APPROACH:
Use industry-specific positioning frameworks:
→ Sales Tech → Sections A1-A3
→ HR Tech → Sections B1-B3
→ Fintech → Sections C1-C3
→ Ops Tech → Sections D1-D3

Mistake 2: "Stage-Agnostic Budgets" (Wrong Tools for Stage)

WRONG APPROACH:
"Series A company buying Gartner subscription ($35K/year)"
WHY IT FAILS:

Series A budget: $0-500/month total marketing tools
Gartner: $35K/year = 70% of annual tool budget
ROI: Gartner useful for enterprise sales (Series C+), not early-stage

SERIES A TOOLS: Free + LinkedIn Sales Nav ($99/mo)
SERIES B TOOLS: Add Crunchbase Pro, SimilarWeb ($250-350/mo)
SERIES C+ TOOLS: Now justify Gartner, Klue, ZoomInfo

CORRECT APPROACH:
Match tool spend to stage → See budget tables in each section

Mistake 3: "Geography-Agnostic Competitors" (Wrong Comp Set)

WRONG APPROACH:
India sales tech startup positioning against Gong/Outreach only
WHY IT FAILS:

Gong: $500M+ valuation, US-focused, enterprise
Real competition in India: Wingman, local startups, price-sensitive
Customers ask: "Why not Wingman?" not "Why not Gong?"

CORRECT APPROACH:
PRIMARY COMP SET (Direct competition):

India-based competitors at similar stage
Example: Wingman for sales tech, Darwinbox for HR Tech

SECONDARY COMP SET (Aspiration):

Global players (Gong, Lattice) for positioning
"We're Gong-quality at Indian pricing"

Mistake 4: "Ignoring Regulatory Differences" (Fintech/HR Tech)

WRONG APPROACH:
Copy US Fintech research playbook for India
WHY IT FAILS:
US Fintech:

Regulation: State-by-state, relatively open
Innovation: Encouraged (regulatory sandboxes)

India Fintech:

Regulation: RBI central control, strict
Innovation: Controlled (must have license first)
Compliance: Data localization mandatory

CORRECT APPROACH:
Research regulatory landscape FIRST, then competitors
→ See Section C1 (Fintech regulatory overview)

Mistake 5: "Vanity Metrics in Market Sizing" (Top-Down Only)

WRONG APPROACH:
"Global sales tech market is $10B, India is 2%, so India = $200M"
WHY IT FAILS:

Top-down often overestimates
Doesn't account for price differences (India pays 30-50% of US prices)
Doesn't validate with bottom-up

CORRECT APPROACH:
ALWAYS triangulate:

Bottom-up: Count companies in ICP × estimated deal size
Top-down: Global market × geography % × category %
Validation: Interview industry experts, "Does $X feel right?"

If bottom-up = $50M and top-down = $200M:
→ Use conservative middle ground ($75M-100M)
→ Document assumptions clearly

Tool Comparison Matrix

By Company Stage & Budget

Tool	Series A	Series B	Series C+	Best For	Industry
Google Search	✅ FREE	✅ Use	✅ Use	All	All
LinkedIn (Free)	✅ FREE	✅ Use	✅ Use	All	All
G2/Capterra	✅ FREE	✅ Use	✅ Use	Review mining	All
Crunchbase Free	✅ FREE	⚠️ Limit	⚠️ Limit	Funding data	All

LinkedIn Sales Nav	💰 $99	✅ YES	✅ YES	ICP sizing, org charts	All
Crunchbase Pro	💰 $29	✅ YES	✅ YES	Competitor funding	All
SimilarWeb	❌ Skip	✅ $125	✅ YES	Traffic analysis	Sales/Martech
Ahrefs	❌ Skip	⚠️ $99	✅ YES	SEO competitive	Sales/Martech
G2 Track	❌ Skip	⚠️ $150	✅ YES	Review monitoring	HR Tech

Gartner	❌ No	❌ Maybe	✅ $35K+	Analyst access, MQ	HR Tech, Enterprise
Klue/Crayon	❌ No	❌ Maybe	✅ $18K+	CI platform	Series C+ All
ZoomInfo	❌ No	❌ Maybe	✅ $20K+	Contact data	Series C+ All

Vanta/Drata	⚠️ Fintech	✅ Fintech	✅ All	SOC 2 compliance	Fintech, HR Tech, Ops
Legal Counsel	✅ Fintech	✅ Fintech	✅ All	Regulatory	Fintech mandatory

Key:

✅ = Recommended at this stage
💰 = Consider if budget allows
⚠️ = Conditional (see section for details)
❌ = Skip (not worth it at this stage)

Prompt Templates for Each Scenario

Template 1: Series A Sales Tech Competitive Positioning

Using the Competitive Intelligence skill, Section A1:
I'm a Series A Sales Tech founder in [India/US].
My product: [One-line description]
My ICP: [Company size, industry]
My competitors: [List 3-5 known competitors]
My question: [Positioning / Battle cards / Market sizing / All of the above]
Provide:

3-day research sprint plan (using FREE tools only)
Sales Tech specific competitor tiers (Enterprise/Growth/Emerging)
Positioning framework (vs Gong/Outreach if US, vs Wingman/local if India)
Battle card template (aggressive but not offensive)
Market sizing (bottom-up + top-down validation)

India-specific if applicable:

Local competitor focus
Rupee pricing benchmarks
India B2B SaaS community sources

Template 2: Series B HR Tech Module Expansion Research

Using the Competitive Intelligence skill, Section B2:
I'm Series B HR Tech PMM.
Current product: [What we have today]
Considering adding: [Performance / Recruiting / Learning / Payroll]
Competitors: [List main competitors]
Goal: [Build vs Buy / Timing / Prioritization]
Provide:

2-week research plan (with paid tools budget $300-500/mo)
Module expansion analysis (which competitors added what, when)
Win/loss framework (why we lose to Lattice/competitors)
Build vs Buy analysis (12-month timeline, cost estimate)
Customer demand validation (survey questions to ask)

Remember:

HR Tech = professional tone (never attack competitors)
Compliance considerations (GDPR, labor laws)
Committee buying dynamics (HR + Finance + Legal)

Template 3: Series A Fintech Regulatory Competitive Analysis

Using the Competitive Intelligence skill, Section C1:
I'm Series A Fintech founder in India.
My product: [Expense mgmt / Corporate cards / Payroll / Other]
My question: [Which licenses needed? / Competitor compliance? / Positioning?]
Market: [India / Planning US expansion / Both]
Provide:

Regulatory landscape overview (RBI licenses needed)
Competitor license mapping (who has what)
Compliance timeline (how long to get licensed)
Conservative positioning framework (fintech-appropriate)
Research plan with legal review checkpoints

CRITICAL:

Ultra-conservative (regulatory risk is extreme)
Legal review mandatory disclaimer
No competitor attacks (could trigger RBI scrutiny)
Data privacy compliance (cannot share user data)

Template 4: Series B Operations Tech Upmarket Research

Using the Competitive Intelligence skill, Section D2:
I'm Series B Operations Tech (Retail Execution) in India.
Current customers: [Tier 2-3 CPG brands]
Goal: Win Tier 1 customers (HUL, ITC, Nestle, Dabur)
Question: What do I need to compete at Tier 1?
Provide:

Tier 1 requirements analysis (features, scale, integrations)
Competitor comparison (FieldAssist, Bizom, Ivy capabilities)
Gap analysis (what we're missing for enterprise)
Roadmap priorities (24-month path to Tier 1 readiness)
Go-to-market strategy (regional brand → Tier 1 pilot)

India retail context:

MNC CPG vs Indian CPG buying patterns
Distributor dynamics (B2B2B complexity)
Offline-first requirements (patchy 4G)
Multi-language support (Hindi + regional)

Troubleshooting Guide: Research Challenges

Issue 1: "Can't find competitor pricing information"

DIAGNOSIS:
□ Checked competitor websites? (pricing page)
□ Checked G2 reviews? (users mention price)
□ Searched "[competitor] pricing" on Google?
□ Asked in communities (Reddit, Slack groups)?
SOLUTIONS:
SHORT-TERM (This Week):
□ Use G2 review search: filter by "pricing" mentions
□ Example: "Gong pricing" in reviews → users say "$1,500-4,000/seat"
□ Check Reddit: r/sales, r/saas for user-reported pricing
□ LinkedIn polls: "What do you pay for [category]?"
MEDIUM-TERM (This Month):
□ Interview customers: "Which competitors did you evaluate? What was pricing?"
□ Interview lost deals: "Why did you choose [Competitor]? Was price a factor?"
□ Sales Nav: Find people who work at competitor, connect, ask (subtly)
LONG-TERM (Next Quarter):
□ Commission research: Hire firm to do competitive pricing study
□ Partner pricing: If you partner with competitor, you'll learn pricing
□ Board connections: Investors often know competitor pricing

WORKAROUNDS:
If still can't find pricing:
□ Estimate based on: Category averages (G2 pricing filter)
□ Back-calculate: If competitor raised $X, has Y employees, burns $Z, estimate ACV
□ Disclaimer: "Estimated pricing based on industry benchmarks and user reports"

Issue 2: "Competitor in different geography (India vs US)"

DIAGNOSIS:
□ India company expanding to US?
□ US company entering India?
□ Need to compare both markets?
SOLUTIONS:
SCENARIO A: India Company → US Expansion
Step 1: Identify US Equivalents

Don't compete with Gong directly (you're unknown in US)
Find: Mid-tier US players (similar stage to you)
Example: India sales tech → Compare to Revenue.io (Series B) not Gong (unicorn)

Step 2: Price Expectations

India: $3K-5K annual for sales tech
US: $10K-20K annual (2-4× higher)
Adjust your pricing up for US market

Step 3: Positioning

Don't say: "We're Indian alternative to Gong"
Do say: "Global sales tech, trusted by [India customers], expanding to US"

SCENARIO B: US Company → India Entry
Step 1: Identify Local Competition

Don't ignore local players (they have price advantage)
Find: India startups in your space
Example: Gong entering India → compete with Wingman (local, cheaper)

Step 2: Price Adaptation

US: $20K/year for Gong
India: Must price at $6K-10K (0.3-0.5× of US price)
Or: Risk being "too expensive for India market"

Step 3: Localization

Language: Hindi + English minimum
Support: India time zones (IST)
Payments: Rupee pricing, Indian payment methods

Issue 3: "No public information on competitor (stealth mode)"

DIAGNOSIS:
□ Competitor is pre-launch or stealth?
□ No website, no reviews, minimal info?
□ Only rumors or whispers in market?
SOLUTIONS:
SIGNALS TO TRACK:
LinkedIn Signals:
□ Company page: How many employees? Growing?
□ Job postings: What roles? (Hiring SDRs = going to market soon)
□ Employee profiles: What are they building? (LinkedIn posts)
□ Founder posts: Any hints about product?
Crunchbase:
□ Funding: How much raised? When?
□ Investors: Who backed them? (signals their focus)
□ Founders: Their background (hints at product direction)
GitHub:
□ Public repos: Any open-source components?
□ Employee commits: What tech stack?
Y Combinator / Accelerators:
□ YC company directory: Their one-liner description
□ Demo day pitches: Sometimes recorded/transcribed
NETWORK INTELLIGENCE:
□ Shared investors: Ask your investors about competitor
□ Shared customers: Ask "Have you heard of [Competitor]?"
□ Industry events: Attend where they might present
□ Sales team: Lost a deal to them? Interview the customer

CONSERVATIVE APPROACH:
If minimal info:
□ Don't speculate in battle cards
□ Focus on: "Emerging competitor, watching closely"
□ Monitor: Set Google Alerts, track their LinkedIn
□ Update: Quarterly reviews of stealth competitors

Issue 4: "Conflicting data from multiple sources"

DIAGNOSIS:
□ G2 says competitor is $5K, Reddit says $10K?
□ Crunchbase says $20M ARR, press release says $15M?
□ Analyst report says X, our research says Y?
SOLUTIONS:
EVALUATE SOURCE CREDIBILITY:
TIER 1 (Highest Credibility):
□ Official company announcements (press releases)
□ Regulatory filings (RBI, SEC if public)
□ Analyst reports (Gartner, Forrester - but expensive)
TIER 2 (Medium Credibility):
□ Industry publications (TechCrunch, ET Tech)
□ Customer testimonials (G2 verified reviews)
□ Investor announcements (funding rounds)
TIER 3 (Lower Credibility):
□ Anonymous reviews (unverified)
□ Reddit/community posts (rumors)
□ Third-party estimates (e.g., Sensor Tower DAU estimates)
RECONCILIATION APPROACH:
Example: Competitor pricing conflict

G2 review: "We pay $5K/year" (1 data point)
Reddit: "Quoted at $10K" (another data point)
Website: No pricing (not helpful)

Resolution:

More data: Read 20+ G2 reviews, find pricing mentions
Find range: "$5K-10K annually depending on seats, features"
Present as range: "Estimated $5K-10K based on user reports"
Confidence level: "Medium confidence (based on user reports, not official)"

DISCLOSURE IN REPORTS:
"Competitor pricing: $5K-10K estimated annual
Source: G2 user reviews (n=12), Reddit discussions (n=3)
Confidence: Medium (no official pricing available)
Last updated: [Date]"

Issue 5: "Board wants faster research (can't spend 2 weeks)"

DIAGNOSIS:
□ Urgent board meeting (3 days notice)?
□ Quick competitive snapshot needed?
□ Can't do 2-week comprehensive research?
SOLUTIONS:
48-HOUR RAPID COMPETITIVE BRIEF:
DAY 1 (4 hours):
09:00-10:00 | Competitive List
□ Google: "[category] competitors"
□ G2 category page: Top 20 players
□ Output: List of 15-20 competitors
10:00-11:30 | Tier Categorization
□ Tier 1: Enterprise leaders (Gong, Workday, Stripe)
□ Tier 2: Growth stage (Your real competition)
□ Tier 3: Emerging (Watch list)
□ Output: Tiered competitor matrix
11:30-13:00 | Quick Positioning Map
□ 2×2 matrix (pick 2 dimensions relevant to you)
□ Plot top 10 competitors
□ Identify white space
□ Output: Positioning slide
DAY 2 (4 hours):
09:00-11:00 | Battle Cards (Top 3 Only)
□ Focus: Top 3 competitors only
□ Quick research: Website, G2 (read 10 reviews each)
□ Template: Strengths, Weaknesses, When we win
□ Output: 1-page battle cards (3 total)
11:00-13:00 | Executive Summary
□ 1-page: Competitive landscape
□ 3-5 bullets: Key insights
□ 2-3 recommendations: Strategic implications
□ Output: Executive slide
BOARD PRESENTATION (10 slides, 15 minutes):

Competitive landscape overview
Tiered competitor matrix
2×2 positioning map
Top 3 competitor battle cards (1 slide each)
Market trends
Strategic recommendations
Q&A backup slides

DISCLAIMER TO BOARD:
"This is a rapid competitive snapshot (48 hours research)
For comprehensive analysis, recommend 2-week deep dive
Key areas needing more research: [Pricing, Market sizing, etc.]"

Related Skills

Complement This Skill With:

Content Writing & Thought Leadership - Turn competitive insights into thought leadership content
Personal Branding & Authority - Position yourself as market expert
Newsletter Creation - Share market intelligence with prospects
Social Media Management - Amplify competitive insights

Quick Reference Cards

When To Use Which Section:

SALES TECH (conversation intelligence, sales engagement):
→ Sections A1, A2, A3
HR TECH (HRIS, engagement, performance, recruiting):
→ Sections B1, B2, B3
FINTECH (payments, expense, cards, payroll):
→ Sections C1, C2, C3
OPERATIONS TECH (retail execution, logistics, field force):
→ Sections D1, D2, D3

Research Timeline by Stage:

SERIES A:
- Quick research: 2-3 days
- Comprehensive: 5 days
- Tools: Free only
- Output: Battle cards + positioning
SERIES B:

Quick research: 1 week
Comprehensive: 2 weeks
Tools: $250-600/month
Output: Strategic positioning + win/loss

SERIES C+:

Ongoing: Quarterly cycles
Deep dive: 4 weeks per quarter
Tools: $75K-300K/year
Output: Board-level intelligence + M&A

END OF SKILL

Competitive Intelligence & Market Research

AI Skill Market Insights

Be Part of the 0+ Developer Community

🎯 Multi-Dimensional Navigator

STEP 1: What's Your Industry Vertical?

STEP 2: What's Your Company Stage?

STEP 3: What's Your Primary Market?

STEP 4: Who's Doing This Research?

Quick Navigation by Common Scenarios

📊 SECTION A: SALES TECH COMPETITIVE INTELLIGENCE

A1: Sales Tech @ Series A (Scrappy Founder Research)

Your Reality Check:

The Sales Tech Competitive Landscape:

Series A Sales Tech Research: 3-Day Sprint

Output: Series A Sales Tech Deliverable Package

Sales Tech Specific: Free Research Sources

A2: Sales Tech @ Series B (Professional Product Marketing Research)

Your Reality Check:

Why Series B Research is Different:

Series B Sales Tech Research: 2-Week Sprint

Series B Sales Tech: Tool Stack & Budget

A3: Sales Tech @ Series C+ (Strategic Intelligence Team)

Your Reality Check:

Why Series C+ Research is Different:

Enterprise Sales Tech Intelligence: Continuous + Quarterly

Series C+ Sales Tech: Premium Tool Stack

📊 SECTION B: HR TECH COMPETITIVE INTELLIGENCE

B1: HR Tech @ Series A (Founder-Led Research)

Your Reality Check:

The HR Tech Competitive Landscape (Different from Sales Tech):

Series A HR Tech Research: Conservative Approach

HR Tech Specific: Conservative Battle Cards

B2: HR Tech @ Series B (Professional Research + Win/Loss)

Your Reality Check:

Series B HR Tech: Different Questions Than Sales Tech

Week 1-2: Comprehensive HR Tech Competitive Analysis

Series B HR Tech: Tool Stack

B3: HR Tech @ Series C+ (Compliance & Strategic Intelligence)

Your Reality Check:

Why HR Tech Enterprise Research is Unique:

Quarterly Research Cadence (HR Tech Specific)

HR Tech Series C+ Tool Stack

📊 SECTION C: FINTECH COMPETITIVE INTELLIGENCE

C1: Fintech @ Series A (Conservative, Compliance-First)

Your Reality Check:

FINTECH IS FUNDAMENTALLY DIFFERENT

Fintech Regulatory Landscape (India)

Series A Fintech Research: Ultra-Conservative

Fintech Series A: Compliance-First Tool Stack

C2: Fintech @ Series B (Strategic Compliance + Expansion)

Your Reality Check:

Series B Fintech Research Questions:

Week 1-2: Regulatory Expansion Analysis

Geographic Expansion: India → UAE/Singapore

C3: Fintech @ Series C+ (Regulatory Affairs + Strategic Intelligence)

Your Reality Check:

Series C+ Fintech: Regulatory-First Intelligence

Fintech M&A: License Arbitrage

Fintech Series C+ Tool Stack

📊 SECTION D: OPERATIONS TECH COMPETITIVE INTELLIGENCE

D1: Operations Tech @ Series A (India Retail Focus)

Your Reality Check:

Operations Tech is DIFFERENT from Sales/HR/Fintech:

India Retail Landscape (Critical Context):

Series A Operations Tech Research: 5-Day Sprint

Operations Tech Positioning (India Context):

D2: Operations Tech @ Series B (Pan-India Expansion)

Your Reality Check:

Series B Operations Tech: Moving Upmarket

D3: Operations Tech @ Series C+ (Category Leadership)

Your Reality Check:

Strategic Intelligence: India Retail Tech

🔄 CROSS-CUTTING: UNIVERSAL FRAMEWORKS

Master Decision Tree: Finding Your Research Path

Geography-Specific Research Playbooks

India Market Research

US Market Research

Worked Examples: Multi-Dimensional Scenarios

Example 1: Sales Tech Founder, Series A, India → US Expansion

Example 2: HR Tech PMM, Series B, Module Expansion Decision