growth-plg-advisor
Skill12 starsChanged 4 months agoMITView on GitHub
Design product-led growth strategies: activation, virality, freemium conversion, and PLG readiness assessment. Use when you want to transition to PLG or optimize an existing growth engine.
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- Distinctive
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- Distinctive: line 134
After all questions, the agent produces:
- Distinctive: line 181
Recommendation: Before building a free tier, invest in guided onboarding with sample data.
- Distinctive: line 192
Consequence: If your product is single-player (see Q4), you can't rely on inherent virality.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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Growth PLG Advisor
Purpose
Design product-led growth strategies by assessing PLG readiness across 5 dimensions: time-to-value, onboarding, virality, monetization, and data infrastructure. Whether you're transitioning from sales-led to PLG or optimizing an existing growth engine, this skill diagnoses your biggest constraint and delivers concrete next steps.
PLG isn't just "add a free tier." It's a product architecture decision that affects onboarding, pricing, feature packaging, and data infrastructure — all of which this skill covers.
Input
Works best with: Your product, current growth model, and any growth metrics you have. Also useful: Current conversion rates (trial→paid, free→paid), activation metrics, retention cohorts.
Anything supplied with the invocation counts as answers already given.
Arriving empty-handed? The skill assesses your PLG readiness first, then recommends next steps.
Example invocation: "We're a B2B SaaS with enterprise sales. Help me add a PLG motion for mid-market."
Key Concepts
The 5 PLG Readiness Dimensions
| # | Dimension | What it measures | Red flag |
| 1 | Time-to-Value | How fast a new user gets their first win | > 30 minutes = poor |
| 2 | Onboarding | % of users who reach the "aha moment" in the first session | < 20% activation = critical |
| 3 | Virality / Loop Potential | Whether usage naturally spreads | No sharing or collaboration = no PLG virality |
| 4 | Monetization | Ability to convert free users to paid | No clear upgrade trigger = leaky funnel |
| 5 | Data Infrastructure | Ability to measure and optimize the loop | Can't segment free users by behavior = blind |
PLG Growth Loops
| Loop Type | How it works | Example |
| Inherent | product usage = invitation sent | Figma (collaboration = new users) |
| Network | more users = more value | Slack, Notion |
| Content | output = distribution | Canva (designed asset = watermark = signup) |
| API | integration = installation | Stripe, Twilio |
| Community | participation = recirculation | Product Hunt, GitHub |
The PLG Conversion Funnel
Visit → Sign up → Activate → Engage → Convert → Expand
│ │ │ │ │ │
│ │ │ │ │ NRR/upsell
│ │ │ │ free→paid
│ │ │ D1/D7/D30 retention
│ │ activation rate (aha moment)
│ signup rate
trafficApplication
This interactive skill asks up to 5 adaptive questions, then produces a PLG action plan.
Question 1 — Current State
Agent asks: "Where are you in your PLG journey?"
- Pre-PLG — We're sales-led or service-led. No free tier, no self-serve.
- Early PLG — We have a free trial or freemium tier, but conversion is low or unclear.
- Growth PLG — We have PLG working, but we want to optimize loops, virality, or expansion.
- PLG + Sales hybrid — We want to add a sales motion on top of existing PLG.
Question 2 — Time-to-Value
Agent asks: "How long does it take a new user to get their first meaningful outcome?"
- < 5 minutes — Near-instant value (e.g., "upload → result")
- 5-30 minutes — Quick setup required (e.g., "connect account → dashboard")
- 30 min - 2 hours — Configuration needed (e.g., "invite team → first project")
- > 2 hours — Significant setup/integration
- Not sure — We haven't measured it
Question 3 — Activation & Onboarding
Agent asks: "What does 'activation' look like for your product, and what is the current rate?"
- We know our activation metric — User provides rate and definition
- We don't have one — Agent helps define it
- We have an aha moment — User provides context for optimization
Question 4 — Viral Potential
Agent asks: "Does your product naturally involve collaboration or sharing?"
- Multiplayer — Multiple users needed for full value (e.g., collaboration, communication)
- Shared output — Users share output that links back to the product (e.g., design tools, docs)
- API/integration — Other tools talk to your product; adoption spreads through ecosystem
- Single-player — One user gets full value; no natural sharing (challenging for PLG)
Question 5 — Monetization Model
Agent asks: "How do you convert free users to paid?"
- Usage-based — Free tier has limits (seats, features, volume); upgrade removes them
- Time-based — Free trial expires; convert or lose access
- Feature-gated — Free tier has core features; premium features require payment
- Hybrid — Combination of usage + features
Output
After all questions, the agent produces:
## PLG Action Plan: <Product>
### PLG Readiness Score
| Dimension | Score (1-5) | Status | Priority |
|-----------|-------------|--------|----------|
| Time-to-Value | ? | ? | ? |
| Onboarding | ? | ? | ? |
| Virality | ? | ? | ? |
| Monetization | ? | ? | ? |
| Data Infrastructure | ? | ? | ? |
### Biggest Constraint
<The dimension with the lowest score — this is your PLG bottleneck>
### Recommended Actions
1. **<Action 1>** — <specific next step, owner, timeline>
2. **<Action 2>**
3. **<Action 3>**
### Growth Loop Design
<If applicable, the recommended primary loop and how to build it>
### Metrics to Track
| Metric | Current | Target | Why it matters |
|--------|---------|--------|----------------|
| | | | |Examples
Example 1: B2B Analytics Tool Going PLG
Context: Enterprise analytics product wants to add a PLG tier. Time-to-value is 45 min (too long). Current activation rate: 12%. Product is single-player.
PLG Readiness:
- Time-to-Value: 2/5 (45 min setup with SQL knowledge)
- Onboarding: 1/5 (12% activation)
- Virality: 1/5 (single-player, no sharing)
- Monetization: 3/5 (clear usage limits possible)
- Data Infrastructure: 2/5 (can't segment free vs. paid users)
Biggest Constraint: Time-to-value. No one will convert if they don't see value in the first session.
Recommendation: Before building a free tier, invest in guided onboarding with sample data. Add "share dashboard" as built-in virality mechanism. Target getting TTV under 5 min and activation to 30% before launching PLG tier.
Common Pitfalls
Pitfall 1: Freemium Without a Funnel
Symptom: "We'll launch a free tier and figure out conversion later." Consequence: Free users churn at 80%+ with zero path to paid. You get volume, not revenue. Fix: Design the free→paid trigger before launching: what behavior predicts willingness to pay? Gate that feature behind the upgrade.
Pitfall 2: Copying Consumer PLG for B2B
Symptom: "Slack grew through virality, so we should too!" Consequence: If your product is single-player (see Q4), you can't rely on inherent virality. You need a different loop (API, content, community). Fix: Match your growth loop to your product architecture. Single-player products need content or API loops, not inherent virality.
Pitfall 3: Activation Theater
Symptom: "Our activation rate is 60%!" ... because activation is defined as "clicked the start button" Consequence: Vanity metric. True activation is "user experienced the core value and came back the next day." Fix: Define activation as the combination of behavior + retention. If they activate but never return, it's not activation.
Pitfall 4: Free Tier Cannibalization
Symptom: Free users love the product but see no reason to upgrade Consequence: You're paying infrastructure costs for users who will never pay you Fix: The free tier must have a hard ceiling — usage limit, team size, time, or features — that makes the upgrade inevitable for growth-stage users.
References
Related Skills
acquisition-channel-advisor— Channel evaluation for paid acquisition once PLG is set uporganic-growth-advisor— McKinsey Growth Pyramid for broader growth strategyexperiment-designer— A/B testing for PLG experiments (pricing page, signup flow)saas-revenue-growth-metrics— Tracking the revenue impact of PLG
External Resources
- Wes Bush, Product-Led Growth — The canonical PLG book
- OpenView PLG Index — Industry benchmarks by product category
- Kyle Poyar's Growth Unhinged — PLG conversion benchmarks
- Lenny Rachitsky's Newsletter — Growth case studies
- Andrew Chen, The Cold Start Problem — Network effects and virality
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