Launch
Landing Structure
AI generates a complete landing page structure adapted to Product DNA methodology. Each landing section ties to a specific research element: pains, job statements, value proposition, offers.
12 Product DNA Landing Sections
- Hero — main offer tied to the core job of the target segment
- Pain Agitation — amplify the pain: "Sound familiar?"
- Solution — how the product solves the problem (pain relievers)
- How it Works — 3-4 usage steps
- Benefits — gains tied to desired outcomes from JTBD
- Social Proof — testimonials, case studies, numbers
- Comparison — competitors compared by jobs (not features)
- Pricing — tiers from the pricing model
- Objection Handling — FAQ based on anxiety from the Switch formula
- AHA Moment — demo or interactive element
- Fire Competitors — why they should switch from their current solution
- Final CTA — repeat the main offer
Subheadline: "TimeFlow automatically logs your Figma hours and creates a professional client report in one click. No more forgotten timers."
CTA: "Try free"
Social proof: "1,200+ freelancers already saving 5 hours per week"
- Use the landing page as a RAT test: run ads before building the product
- The hero section should be understandable within 5 seconds — test with strangers
- Objection Handling builds on real anxiety from interviews, not made-up FAQs
Related artifacts: Offer Bank, Positioning, GTM Strategy.
GTM Strategy (Go-to-Market)
The GTM strategy defines how you'll acquire your first users. AI analyzes niche, segments, and budget to propose optimal acquisition channels with CAC estimates for each.
Channel Types
| Type | Channels | When to Use |
|---|---|---|
| Owned | Blog, SEO, email newsletter, social media | Long-term growth, low budget |
| Paid | Search ads, targeting, sponsorships | Quick hypothesis test, scaling |
| Earned | PR, partnerships, community, word-of-mouth | When you have product-market fit |
| Product-led | Freemium, virality, referral program | Mass B2C/B2B, network effects |
1. Telegram channels for freelancers — sponsored posts ($150, expected CAC ~$8)
2. Google Ads for "freelancer time tracking" ($200, expected CAC ~$25)
3. Content marketing — article "How I stopped losing money on time tracking" (free)
4. Referral program — free month for inviting a friend ($150 in bonuses)
Related artifacts: Outreach Sequences, Unit Economics, Success Metrics.
Outreach Sequences
AI generates ready-to-use cold outreach sequences: first touch, follow-ups, and break-up email. Each message is adapted for a specific segment and its job statement.
Sequence Structure
- First touch — pain-based hook + value offer (not a pitch)
- Follow-up 1 (day 3) — additional value (article, case study, insight)
- Follow-up 2 (day 5) — social proof + specific offer
- Break-up (day 7) — final message with soft CTA
"Hi! I noticed your profile on Behance — great projects.
We built a tool that automatically tracks working time in Figma — no manual timer needed. 1,200 freelance designers already save ~5 hours per week.
Interested in trying it? First 14 days free.
If it's not relevant right now — no problem, just reply 'not interested' and I won't bother you again."
- Personalize each message — AI provides templates, but add details yourself
- Don't sell in the first touch — offer value
- Break-up emails often get the highest response — people reply when they feel the opportunity leaving
Related artifacts: GTM Strategy, Offer Bank, Persona Cards.
Pitch Deck
AI compiles a pitch presentation from key artifacts: problem, solution, market, competitors, business model, team, ask. Every slide links to research data, not template phrases.
Slide Structure
- Problem — core job + top-3 pains (from Pain Map)
- Solution — value proposition + screenshot/demo
- Market Size — TAM/SAM/SOM based on segments
- Traction — metrics if available (or RAT test results)
- Business Model — pricing model + unit economics
- Competition — competitive landscape (jobs-based)
- Team — (fill in manually)
- Ask — amount and allocation
- Pitch deck is available via the "Export" button in the top bar
- For best results, generate all dependent artifacts first
- Problem + Solution slides should be understandable within 30 seconds
Related artifacts: Positioning, Unit Economics, Success Metrics.
Success Metrics
This artifact defines key performance indicators (KPIs) for evaluating product success. AI selects metrics based on product stage, business model, and niche.
Metrics by Stage
| Stage | North Star Metric | Supporting Metrics |
|---|---|---|
| Problem-Solution Fit | % of respondents confirming the problem | Interview count, hypothesis NPS |
| Product-Market Fit | % "very disappointed" without the product | Retention D7/D30, engagement rate |
| Growth | MRR or WAU/MAU | CAC, LTV/CAC, payback period, churn |
| Scale | Revenue or Gross Profit | Cohort unit economics, NRR |
North Star: "% of users tracking time 5+ days per week" (target: 40%)
Supporting: Retention D7 > 50%, D30 > 25%, Time to Value < 3 minutes, "Very disappointed" score > 40%
Related artifacts: RAT Tests, Unit Economics, Benchmarks.