Run the pre-launch evidence package for my B2B SaaS product.

Product: ContractFlow - AI-powered contract review for in-house legal teams

Target Vertical: In-house counsel at mid-market tech companies (50-500 employees)

Current Status:

• Interviewed 12 in-house counsel and legal ops managers
• Landing page built; tested with 240 visitors; 6% conversion
• Pricing: Tested $199/month (75% positive) and $299/month (50% positive)
• 2 customers completed full sales cycle (4 weeks each)
• 0 paying customers yet
• Competitive landscape: Ironclad (enterprise); mostly manual process

What's Validated:

• Problem: In-house counsel spend 15-20 hours/month on contract review
• Business impact: Legal delays, SLA misses, compliance risks
• Current solution: Manual (Word + email)
• Customer budget exists for this problem

What's NOT Validated:

• Actual willingness to pay (only hypothetical "yes")
• Sales channel performance (planning outbound sales; untested)
• Product-market fit (idea validated; actual product untested)
• Landing page messaging (headline untested with customers)

Give me:

1. Evidence inventory (what's verified vs. speculative)
2. Consistency checks across positioning, pricing, channel, and ICP
3. Launch readiness score (percentage validated)
4. Risk register (highest-risk assumptions)
5. Go/no-go recommendation (public launch, beta, or keep iterating?)
6. Prioritized 30-day validation roadmap

LAUNCH READINESS REPORT Product: ContractFlow Generated: [date]

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OVERALL LAUNCH READINESS: 52% VALIDATED

✅ Evidence Confidence Breakdown:

• VERIFIED claims: 62% (backed by research or testing)
• INFERRED claims: 28% (reasonable but untested)
• UNVERIFIED claims: 10% (assumptions/guesses)

🎯 LAUNCH RECOMMENDATION: 🟡 READY FOR BETA

Launch to 5-15 early adopters (closed beta). NOT ready for public launch yet.

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EVIDENCE INVENTORY:

✅ VERIFIED

• Problem: "In-house counsel spend 15-20 hours/month on contract review" Evidence: 11 of 12 customers confirmed this range; 2 shared time-tracking data Confidence: HIGH

• Market: "In-house counsel at 50-500 person tech companies exist" Evidence: Job postings, LinkedIn search, customer interviews Confidence: HIGH

• Current Solution: "Manual review process is status quo" Evidence: 11 of 12 customers use Word + email workflow Confidence: HIGH

🟡 INFERRED

• Price Acceptance: "Customers will pay $199/month" Evidence: 6 of 8 customers tested said "yes" to $199/month Confidence: MEDIUM (only hypothetical; no paid customers yet)

• Sales Cycle: "Takes 4 weeks to close" Evidence: 2 customers took 4 weeks; small sample size Confidence: MEDIUM (only 2 data points)

❌ UNVERIFIED

• Actual Customer Acquisition Cost (CAC) Evidence: None; assuming $200-300 per customer based on sales time Confidence: LOW (not tested)

• Product-Market Fit with actual product Evidence: None; only tested workflow ideas with customers Confidence: LOW (product not tested)

• Sales channel performance (outbound email + warm intros) Evidence: None; assuming based on B2B SaaS best practices Confidence: LOW (not tested)

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CONSISTENCY CHECKS:

✅ ICP ↔ PRICING ALIGNMENT Your ICP: In-house counsel at mid-market tech companies (50-500 people) Your Price: $199/month Customer Budget: Tested at $199; 75% positive signal Status: ALIGNED ✅

🟡 POSITIONING ↔ CUSTOMER EVIDENCE Your positioning: "Save 15 hours/month with AI-powered review" Customer focus: Accuracy/risk mitigation, NOT time savings Customer quotes: "I need something that catches clauses we miss" Status: NEEDS ADJUSTMENT 🟡 Action: Reposition around risk/accuracy; time savings is secondary benefit

🚨 CHANNEL ↔ CUSTOMER DISCOVERY Your planned channel: Outbound sales + warm introductions How customers found current vendor: Peer recommendations (70%), consultants (20%), search (10%) Status: MISALIGNED 🚨 Action: Build referral program; test outbound in parallel; consider consultant partnerships

✅ FEATURES ↔ PROBLEMS Core problems: (1) Slow review, (2) Missing clauses, (3) Manual redline process Your features: (1) AI risk detection, (2) Auto-flag missing terms, (3) Redline suggestions Status: ALIGNED ✅

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RISK REGISTER:

🔴 HIGH RISK

1. Pricing Not Validated at Purchase Risk: You tested hypothetical willingness; no paying customers Impact: High (pricing is revenue model) Mitigation: Land 3-5 beta customers at $199/month; monitor churn

2. Sales Channel Untested Risk: Outbound sales has zero track record; CAC unknown Impact: High (if CAC > $600/year, business doesn't work) Mitigation: Run pilot with 20 cold emails + 10 warm intros; measure close rate

🟡 MEDIUM RISK 3. Positioning Misalignment Risk: Emphasizing time savings; customers care about risk mitigation Impact: Medium (converts fewer; messaging can be fixed) Mitigation: A/B test landing page headlines; lead with risk mitigation

4. Small Sales Sample Risk: Only 2 customers through full cycle; sales cycle could be longer Impact: Medium (affects cash flow projections) Mitigation: Track close time carefully; adjust forecasts as sample grows

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GO/NO-GO GATES:

✅ Will customers actually pay? Evidence: 75% positive at $199/month price test Status: LIKELY (but not confirmed; no paying customers)

✅ Problem is frequent enough? Evidence: Weekly task (15-20 hours/month) Status: YES (sufficient for $200/month subscription)

✅ Your solution is 10x better? Evidence: Customers said automation would be valuable Status: LIKELY (but product not tested)

❌ Customers will actually convert? Evidence: None yet; no paying customers Status: UNVERIFIED (highest risk)

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LAUNCH RECOMMENDATION:

→ 🟡 READY FOR BETA LAUNCH (not public)

Why: ✅ Problem validated (92% customer consensus) ✅ Budget confirmed ($199-299/month is acceptable) ✅ Market confirmed (in-house counsel at mid-market tech exists) 🟡 Pricing tested but not purchased 🟡 Sales channel untested ❌ Product not tested by real customers ❌ No paying customers

Beta Launch Plan:

1. Contact 5-10 warm leads (customers who expressed interest)
2. Offer free/discounted access in exchange for feedback
3. Track: feature usage, time to value, product-market fit signals
4. Monitor churn closely (target: <20% in first 30 days)
5. Gather NPS and qualitative feedback

Public Launch Criteria (after beta):

• [ ] 3+ paying customers at $199/month
• [ ] Product feedback positive (NPS > 30)
• [ ] CAC validated (< $500 per customer)
• [ ] Churn rate < 10%
• [ ] Sales cycle confirmed (±1 week vs. 4-week assumption)

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NEXT 30 DAYS PRIORITY:

WEEK 1: Positioning

• [ ] A/B test landing page headlines (risk mitigation vs. time savings)
• [ ] Track which version converts better
• [ ] Iterate based on results

WEEK 2: Sales Channel

• [ ] Send 20 cold outreach emails to target customers
• [ ] Personal outreach to 10 warm leads
• [ ] Track: # contacted, # replied, # agreed to demo

WEEK 3: Product Testing

• [ ] Get 3 beta customers access to product
• [ ] Establish weekly feedback calls
• [ ] Document feature requests and pain points

WEEK 4: Pricing Validation

• [ ] Have pricing conversation with all beta customers
• [ ] Confirm $199/month or negotiate
• [ ] Document any price resistance

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KEY METRICS TO TRACK:

• of beta customers who sign up

• Trial-to-paid conversion rate (target: 20%+)
• Actual sales cycle (vs. 4-week assumption)
• Customer acquisition cost by channel
• Churn rate (target: <10% in month 2)
• NPS (target: 40+)
• Feature usage (what's actually being used?)

RED FLAGS (stop and pivot if you see these):

• <10% trial-to-paid conversion (product-market fit issue)
• Churn >15% in month 1 (retention issue)
• NPS <20 (customer satisfaction problem)
• CAC >$1000 (profitability issue)

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CONFIDENCE SUMMARY:

You have STRONG problem validation and MEDIUM price validation. You have ZERO product and channel proof.

This is normal for a pre-launch SaaS. Launch to beta; use first 30 days to validate product and sales channel.

If after 30 days you have 3+ paying customers + positive feedback + validated CAC, move to public launch.

Good luck. 🚀