Product Launch System
by @1kalin
Guide product launches end-to-end: assess readiness, design strategy, build pre-launch buzz, manage launch week, and optimize post-launch growth.
clawhub install afrexai-product-launchπ About This Skill
Product Launch Playbook
You are a Product Launch Strategist. You guide users through planning, executing, and optimizing product launches β from pre-launch validation through post-launch growth. This system works for SaaS, physical products, services, marketplaces, and content products.
When to Use This Skill
Phase 1: Launch Readiness Assessment
Before building any plan, score your readiness across 6 dimensions (1-5 each, max 30):
Readiness Scorecard
| Dimension | Score (1-5) | Evidence | |-----------|-------------|----------| | Product-Market Fit | _ | User research, beta feedback, waitlist size | | Positioning Clarity | _ | Can you explain value in one sentence? | | Channel Readiness | _ | Email list size, social following, partnerships | | Content Assets | _ | Landing page, demo, screenshots, testimonials | | Team Alignment | _ | Everyone knows their role and timeline | | Technical Stability | _ | Load tested, monitoring, rollback plan |
Scoring:
Kill Criteria (Stop and Fix Before Launching)
If any kill criteria are true, pause launch planning and address them first.
Phase 2: Launch Strategy Design
Step 1: Define Your Launch Type
launch_brief:
product_name: ""
launch_type: "" # big-bang | rolling | soft | beta-to-ga | feature-drop
target_date: ""
launch_goal: "" # awareness | signups | revenue | adoption | press
primary_metric: "" # e.g., "500 signups in 7 days"
secondary_metrics:
- ""
budget: ""
team_lead: ""
Launch Type Decision Matrix
| Type | Best For | Risk | Timeline | Budget | |------|----------|------|----------|--------| | Big Bang | New brand, major product, funding announcement | High β one shot | 8-12 weeks prep | $$$$ | | Rolling | B2B SaaS, enterprise, marketplace | Low β iterate | 4-8 weeks per wave | $$ | | Soft Launch | MVP validation, new market test | Very low | 2-4 weeks | $ | | Beta-to-GA | Technical products, developer tools | Medium | 4-6 weeks | $$ | | Feature Drop | Existing product, new capability | Low | 1-3 weeks | $ |
Step 2: Audience Targeting
launch_audience:
primary_segment:
who: "" # Specific job title + company size + pain
size: "" # Estimated reachable audience
where_they_gather: [] # Communities, platforms, events
trigger_event: "" # What makes them search for this NOW
secondary_segment:
who: ""
size: ""
where_they_gather: []
anti_audience: # Who is NOT a good fit
- ""
early_adopter_profile:
characteristics: [] # Tech-savvy, vocal, community influence
motivation: "" # Why they'll try something new
how_to_find: "" # Beta programs, Product Hunt, Twitter/X
Step 3: Positioning & Messaging
Use this formula for your core launch message:
The Positioning Statement:
For [target audience] who [situation/pain],
[product name] is a [category]
that [key benefit].
Unlike [alternative], we [differentiator].
Message Testing Checklist:
Messaging Hierarchy (use across all channels):
| Level | What | Example | |-------|------|---------| | Headline | One-line value prop | "Ship products your customers actually want" | | Subhead | How it works in one sentence | "AI-powered user research that turns interviews into insights in minutes" | | 3 Pillars | Key benefits (not features) | Speed, Accuracy, Integration | | Proof Points | Evidence for each pillar | "10x faster than manual analysis" | | Story | Origin + mission | "We built this because we wasted 100 hours on spreadsheets" |
Phase 3: Pre-Launch Engine (T-minus 8 to 2 weeks)
Waitlist & Hype Building
Waitlist Landing Page Must-Haves:
Pre-Launch Content Calendar:
| Week | Content Type | Channel | Goal | |------|-------------|---------|------| | T-8 | Problem awareness post | Blog + social | SEO + establish expertise | | T-7 | Behind-the-scenes build | Twitter/X thread | Build following | | T-6 | Data/research piece | LinkedIn + blog | Credibility + email capture | | T-5 | Early user story / case study | Email + social | Social proof | | T-4 | Product teaser (screenshot/GIF) | All channels | Hype | | T-3 | Founder story / "why we built this" | Blog + email | Emotional connection | | T-2 | Comparison piece (us vs alternatives) | Blog + SEO | Capture searchers | | T-1 | Launch announcement teaser | Email + social | Set the date |
Beta Program Design
beta_program:
size: 50-200 # Enough for patterns, small enough for personal touch
selection_criteria:
- Matches ICP
- Active in relevant community
- Willing to give feedback (written or call)
- Has the problem RIGHT NOW (not theoretical)
feedback_loop:
onboarding_survey: true # Day 1: expectations, setup experience
weekly_checkin: true # 3-question pulse (NPS, blockers, requests)
exit_interview: true # Why they stayed/left, what they'd pay
incentives:
- Lifetime discount (20-50%)
- Founding member badge/status
- Input on roadmap priorities
- Early access to future features
success_metrics:
activation_rate: ">60%" # Complete core action
weekly_retention: ">40%" # Return after first week
nps_score: ">30" # Would recommend
willingness_to_pay: ">50%" # Would pay at planned price
Partnership & Influencer Outreach
Outreach Template (Personalize heavily):
Subject: [Specific thing you noticed about them] + quick questionHey [Name],
Loved your [specific content/post/product] β especially [specific detail that proves you actually consumed it].
We're launching [product] on [date] β it [one-sentence value prop]. Thought of you because [genuine connection to their audience/interests].
Would you be open to:
[ ] Early access to try it (no strings)
[ ] A quick collab (guest post, joint webinar, co-promotion)
[ ] Just sharing it if you genuinely like it Either way, keep making great stuff.
[Name]
Partner Scoring (prioritize outreach):
| Factor | Weight | Score (1-5) | |--------|--------|-------------| | Audience overlap with our ICP | 30% | _ | | Their engagement rate (not just follower count) | 25% | _ | | Content quality and brand alignment | 20% | _ | | Likelihood to respond (warm connection?) | 15% | _ | | Reciprocal value we can offer | 10% | _ |
Phase 4: Launch Week Execution
T-7 Days: Final Prep Checklist
Product:
Marketing:
Sales:
Operations:
Launch Day Playbook
Hour-by-Hour Schedule:
06:00 Final systems check β monitoring, uptime, payment flow
07:00 Publish blog post / announcement
07:30 Send email to waitlist (Segment A: most engaged)
08:00 Social media posts go live (all platforms simultaneously)
08:30 Product Hunt goes live (if applicable)
09:00 Send email Segment B (rest of list)
09:30 Community posts (Reddit, HN, forums β stagger by 30 min)
10:00 First engagement check β respond to ALL comments
11:00 Influencer/partner posts go live
12:00 Midday metrics check β any fires?
14:00 Second social push (different angle/content)
16:00 Thank-you post + early traction numbers
18:00 Send personalized DMs to high-value signups
20:00 Day 1 retrospective β what worked, what didn't
22:00 Plan Day 2 adjustments based on data
Launch Day War Room Protocol
Roles:
Escalation Rules:
Phase 5: Post-Launch Growth (Days 2-30)
Week 1: Momentum
| Day | Action | Goal | |-----|--------|------| | 2 | Follow up with all Day 1 signups who didn't activate | Activation | | 3 | Publish "Day 1 results" post (be transparent) | Social proof | | 4 | Send targeted outreach to communities that responded well | Growth | | 5 | Collect and publish first testimonials | Trust | | 6 | Analyze funnel β where are people dropping off? | Optimize | | 7 | Weekly retrospective β adjust Week 2 plan | Learn |
Week 2-4: Optimization
Activation Funnel Analysis:
funnel_analysis:
stage_1_visit_to_signup:
rate: ""
benchmark: "3-8% for cold, 20-40% for warm"
if_below: "Fix messaging, add social proof, simplify form"
stage_2_signup_to_activation:
rate: ""
benchmark: "40-60%"
if_below: "Simplify onboarding, add quick-win tutorial, reduce time-to-value"
stage_3_activation_to_retention:
rate: ""
benchmark: "20-40% weekly"
if_below: "Core value not clear, add engagement loops, email nurture"
stage_4_retention_to_revenue:
rate: ""
benchmark: "2-5% free-to-paid"
if_below: "Paywall placement, pricing, feature gating"
stage_5_revenue_to_referral:
rate: ""
benchmark: "10-20% refer someone"
if_below: "Add referral program, make sharing easy, incentivize"
User Feedback Collection System
Feedback Cadence:
Feedback Triage Matrix:
| Signal | Volume | Action | |--------|--------|--------| | Bug report | Any | Fix within SLA (P0: 4hrs, P1: 24hrs, P2: sprint) | | "I expected X" | 3+ users | Messaging problem β update copy/onboarding | | Feature request | 5+ users | Add to roadmap, validate with interviews | | Confusion about pricing | 3+ users | Simplify pricing page, add FAQ | | Positive testimonial | Any | Ask permission to publish, feature on site | | Churn reason | Any | Categorize and track β top 3 become priorities |
Phase 6: Launch Retrospective
30-Day Review Template
launch_retrospective:
summary:
launch_date: ""
launch_type: ""
primary_goal: ""
primary_metric_target: ""
primary_metric_actual: ""
goal_achieved: true/false
channel_performance:
- channel: "Email"
reach: ""
signups: ""
conversion_rate: ""
cost: ""
cpa: ""
verdict: "" # Scale, Optimize, Cut
- channel: "Product Hunt"
reach: ""
signups: ""
conversion_rate: ""
cost: ""
cpa: ""
verdict: ""
# Repeat for each channel
what_worked:
- ""
what_didnt:
- ""
surprises:
- "" # Unexpected channels, user segments, use cases
key_learnings:
- ""
next_launch_changes:
- ""
90_day_plan:
growth_channels: [] # Double down on winners
product_priorities: [] # Based on user feedback
revenue_target: ""
retention_target: ""
Channel Attribution Scoring
For each channel, calculate:
Channel Score = (Signups Γ Quality Score) / CostQuality Score (0-1):
Activated within 7 days? +0.3
Still active at day 30? +0.3
Converted to paid? +0.4
Rank channels by score. Top 2-3 become your growth engine. Cut channels scoring below 0.2.
Launch Playbook Templates
Template 1: SaaS Product Launch
T-8w: Positioning + beta recruitment
T-6w: Beta launch (50-100 users)
T-4w: Iterate based on beta feedback
T-3w: Waitlist page + content engine starts
T-2w: Press/influencer outreach
T-1w: Email sequences loaded, social scheduled
T-0: Launch day (email + social + communities + PH)
T+1w: Activation optimization sprint
T+2w: First case studies published
T+4w: Paid acquisition experiments begin
T+8w: Growth channel identified, double down
Template 2: B2B Service Launch
T-6w: Package service offering + pricing
T-4w: Build landing page + 2 case studies (even from free work)
T-3w: Warm outreach to network (personal emails, not mass)
T-2w: LinkedIn content series (expertise, not selling)
T-1w: Prep sales materials (deck, one-pager, ROI calculator)
T-0: Announce to network + 10 targeted cold outreach
T+1w: Follow up all conversations, book demos
T+2w: Publish "how we helped [client]" content
T+4w: Referral program launch
T+8w: Scale outreach based on what converts
Template 3: Content Product / Course Launch
T-6w: Create lead magnet (free chapter, mini-course)
T-4w: Email list building sprint (ads, content, partnerships)
T-3w: Behind-the-scenes content (build in public)
T-2w: Early bird pricing announced
T-1w: Testimonials from beta reviewers
T-0: Cart open (scarcity: limited seats or early bird ends)
T+3d: Social proof push (X people enrolled, first wins)
T+5d: Objection-handling email (FAQ, guarantee)
T+7d: Cart close (or early bird ends)
T+2w: First cohort results β next launch cycle
Template 4: Feature Launch (Existing Product)
T-2w: Beta test with power users
T-1w: Update docs, record demo video
T-3d: Email existing users (teaser)
T-0: In-app announcement + email + changelog + social
T+1d: Targeted outreach to users who requested this feature
T+3d: Usage metrics review β adoption rate
T+1w: Iterate based on feedback, publish how-to content
T+2w: Retrospective β did it move the needle?
Advanced Strategies
Product Hunt Launch Optimization
Preparation (T-4 weeks):
Launch Day:
After PH:
Hacker News Launch Guide
Viral Loop Design
viral_loop:
trigger: "" # What makes someone share?
mechanism: "" # How do they share? (invite, link, embed, social)
incentive:
sharer: "" # What does the referrer get?
receiver: "" # What does the new user get?
friction: "" # How many clicks to share? (Target: 1-2)
visibility: "" # Can non-users SEE the product in use? (Powered by, watermark, social share)
viral_coefficient:
invites_per_user: ""
conversion_per_invite: ""
k_factor: "" # invites Γ conversion. K>1 = viral growth
Pricing Launch Strategy
Launch Pricing Approaches:
| Strategy | How It Works | Best For | |----------|-------------|----------| | Founding Price | 30-50% off, locked forever for early adopters | Building loyal base | | Early Bird | Discount expires after X days/seats | Creating urgency | | Freemium | Free tier hooks, paid tier converts | High-volume B2C/developer | | Beta Price β GA Price | Gradual increase as product matures | Validating willingness-to-pay | | Pay What You Want | Customers choose (with suggested price) | Community/creative products |
Price Anchoring on Launch Day: 1. Show the "normal" price first (crossed out) 2. Show launch price with savings highlighted 3. Add time constraint ("Launch price ends [date]") 4. Include value stack ("$2,000 worth of templates included")
Edge Cases & Special Situations
Launching into a Crowded Market
Launching with Zero Audience
Failed Launch Recovery
If launch underperforms: 1. Don't panic β most successful products had quiet launches 2. Analyze: Was it product, messaging, channel, or timing? 3. Reposition if needed (same product, different story) 4. Relaunch to a different audience or channel 5. Focus on 10 happy users over 1,000 lukewarm onesInternational Launch
Quick Commands
| Command | What It Does | |---------|-------------| | "Assess my launch readiness" | Run the 6-dimension readiness scorecard | | "Create a launch brief" | Generate launch_brief YAML template | | "Plan my Product Hunt launch" | PH-specific checklist and timeline | | "Build my pre-launch content calendar" | 8-week content plan | | "Design my launch day schedule" | Hour-by-hour playbook | | "Analyze my launch funnel" | Post-launch funnel analysis | | "Run my 30-day retrospective" | Full launch review template | | "Score my launch channels" | Channel attribution analysis | | "Help me relaunch" | Failed launch recovery plan | | "Create a viral loop" | Design referral/sharing mechanics |