Product-Led Growth skill 01 of 13

Product-Led Growth Audit SKILL.md

The PLG Audit skill makes Claude, Codex or another AI agent review a product-led motion end to end. It checks fit for self-serve, the free model, activation and time to value, in-product onboarding, feature adoption, expansion and invites, upgrade paths, product-qualified leads, sales assist, in-app messaging, education and product analytics, then sizes each leak by revenue at stake and builds a 90-day plan.

plg-audit/SKILL.md, version 1.0.0, 1,590 words.

Product-led growth (PLG) means the product itself does much of the work that marketing and sales do in other companies: people discover it, try it, get value, invite colleagues and upgrade, often before talking to anyone. Many companies add a free plan or trial and call themselves product-led, then wonder why sign-ups don't turn into revenue. The usual causes sit between the pieces: a free offer that gives away too much or too little, onboarding that never reaches the moment of value, no signals telling sales which accounts are ready, upgrade prompts that appear at the wrong time and no loop that brings in new users.

This skill audits a product-led motion end to end: strategy and fit, free model, activation, in-product onboarding, feature adoption, expansion and invites, upgrade paths, product-qualified leads, sales assist, in-app messaging, education and metrics. It finds the biggest leaks and hands each to a specialist skill. It is the entry point for the Product-Led Growth set.

Operating principles

  1. Value before payment. Users should reach real value before being asked to pay or talk to sales.
  2. Measure the user journey in the product. Sign-ups mean little without activation, habit and expansion data.
  3. Free must serve growth. The free plan or trial should drive adoption, word of mouth and upgrades, not just support costs.
  4. Product and go-to-market work together. Product, marketing, sales and success share PLG metrics.
  5. Fix the biggest leak first. Usually activation, then conversion to paid, then expansion.

Audit areas

AreaWhat to checkTypical finding
1. Strategy and fitIs PLG right for the product, price and buyer?Complex enterprise product forced into self-serve
2. Free modelFreemium, trial, reverse trial, limits and gatesFree plan covers most needs; few reasons to upgrade
3. ActivationActivation definition, rate, time to valueActivation undefined; most sign-ups never reach value
4. In-product onboardingEmpty states, checklists, tours, templatesProduct tour nobody finishes; empty first screen
5. Feature adoptionUse of key features that predict retentionValuable features hidden
6. Expansion and invitesSeats, workspaces, sharing, collaborationInviting teammates is buried in settings
7. Upgrade pathsPrompts, paywalls, limits, self-serve checkoutUpgrade asked on day one, never again
8. Product-qualified leadsSignals of readiness, scoring, routingSales calls every sign-up; ready accounts missed
9. Product-led salesSales assist motion, playbooksReps cold-call free users with generic pitches
10. In-app messaging and educationAnnouncements, tips, help centre, academyMessages fire for everyone at once
11. Metrics and dataProduct analytics, cohorts, PLG dashboardOnly sign-ups and revenue reported

When to use, and when not to

Use it when sign-ups grow but revenue doesn't, when adding a free plan or trial, when moving from sales-led to product-led (or adding sales to PLG), before pricing or packaging changes and in annual planning.

Don't use it for sign-up form fixes (the CRO signup-flow-optimisation skill), lifecycle email programmes (the CRM and Lifecycle skills) or pricing strategy itself (the Product Marketing pricing-packaging skill).

Inputs to ask for, in one message

  1. Product, pricing, free model and target users and buyers.
  2. Funnel data: sign-ups, activation, weekly active use, free-to-paid conversion, expansion, churn.
  3. Activation definition and the key actions that predict retention.
  4. Onboarding flows and in-app messaging tools.
  5. How sales and success engage with self-serve users.
  6. Product analytics access (Amplitude, Mixpanel, PostHog, Heap or similar).

Raw SKILL.md file

.md

This is the exact file agents read, including the credit header and licence notice. Save it as plg-audit/SKILL.md.

---
name: plg-audit
description: "Audit a product-led motion end to end: fit for self-serve, the free model, activation and time to value, in-product onboarding, feature adoption, expansion and invites, upgrade paths, product-qualified leads, sales assist, in-app messaging, education and product analytics, with a stage-by-stage funnel sized by revenue at stake and a 90-day plan. Use whenever someone asks for a PLG audit, product-led growth review, why sign-ups don't convert to paid, freemium performance, free trial conversion, moving to product-led growth or where to start with PLG."
license: CC-BY-4.0
metadata:
  author: Afeez Adebayo
  author_url: https://afeezadebayo.com
  author_linkedin: https://www.linkedin.com/in/afeez-adebayo/
  author_x: https://x.com/za_icon
  source: https://afeezadebayo.com/skills-md/marketing/product-led-growth/plg-audit/
  category: marketing
  subcategory: product-led-growth
  version: "1.0.0"
  created: "2026-10-10"
  updated: "2026-10-10"
---

# Product-Led Growth Audit

Product-led growth (PLG) means the product itself does much of the work that marketing and sales do in other companies: people discover it, try it, get value, invite colleagues and upgrade, often before talking to anyone. Many companies add a free plan or trial and call themselves product-led, then wonder why sign-ups don't turn into revenue. The usual causes sit between the pieces: a free offer that gives away too much or too little, onboarding that never reaches the moment of value, no signals telling sales which accounts are ready, upgrade prompts that appear at the wrong time and no loop that brings in new users.

This skill audits a product-led motion end to end: strategy and fit, free model, activation, in-product onboarding, feature adoption, expansion and invites, upgrade paths, product-qualified leads, sales assist, in-app messaging, education and metrics. It finds the biggest leaks and hands each to a specialist skill. It is the entry point for the Product-Led Growth set.

## Operating principles
1. **Value before payment.** Users should reach real value before being asked to pay or talk to sales.
2. **Measure the user journey in the product.** Sign-ups mean little without activation, habit and expansion data.
3. **Free must serve growth.** The free plan or trial should drive adoption, word of mouth and upgrades, not just support costs.
4. **Product and go-to-market work together.** Product, marketing, sales and success share PLG metrics.
5. **Fix the biggest leak first.** Usually activation, then conversion to paid, then expansion.

## Audit areas
| Area | What to check | Typical finding |
|---|---|---|
| 1. Strategy and fit | Is PLG right for the product, price and buyer? | Complex enterprise product forced into self-serve |
| 2. Free model | Freemium, trial, reverse trial, limits and gates | Free plan covers most needs; few reasons to upgrade |
| 3. Activation | Activation definition, rate, time to value | Activation undefined; most sign-ups never reach value |
| 4. In-product onboarding | Empty states, checklists, tours, templates | Product tour nobody finishes; empty first screen |
| 5. Feature adoption | Use of key features that predict retention | Valuable features hidden |
| 6. Expansion and invites | Seats, workspaces, sharing, collaboration | Inviting teammates is buried in settings |
| 7. Upgrade paths | Prompts, paywalls, limits, self-serve checkout | Upgrade asked on day one, never again |
| 8. Product-qualified leads | Signals of readiness, scoring, routing | Sales calls every sign-up; ready accounts missed |
| 9. Product-led sales | Sales assist motion, playbooks | Reps cold-call free users with generic pitches |
| 10. In-app messaging and education | Announcements, tips, help centre, academy | Messages fire for everyone at once |
| 11. Metrics and data | Product analytics, cohorts, PLG dashboard | Only sign-ups and revenue reported |

## When to use, and when not to
Use it when sign-ups grow but revenue doesn't, when adding a free plan or trial, when moving from sales-led to product-led (or adding sales to PLG), before pricing or packaging changes and in annual planning.

Don't use it for sign-up form fixes (the CRO `signup-flow-optimisation` skill), lifecycle email programmes (the CRM and Lifecycle skills) or pricing strategy itself (the Product Marketing `pricing-packaging` skill).

## Inputs to ask for, in one message
1. Product, pricing, free model and target users and buyers.
2. Funnel data: sign-ups, activation, weekly active use, free-to-paid conversion, expansion, churn.
3. Activation definition and the key actions that predict retention.
4. Onboarding flows and in-app messaging tools.
5. How sales and success engage with self-serve users.
6. Product analytics access (Amplitude, Mixpanel, PostHog, Heap or similar).

## Workflow

### Step 1. Check fit
Can users get value without help? Is the price low enough for self-serve at some level? Do individual users choose tools?

### Step 2. Map the product journey
Sign-up, setup, first value, habit, team adoption, upgrade, expansion, with conversion at each stage.

### Step 3. Find the biggest leak
Compare stages with benchmarks you trust and your own cohorts; size the revenue at stake.

### Step 4. Review the free model
What's free, what's limited, what triggers upgrades, how many free users hit limits.

### Step 5. Review onboarding and adoption
Time to value, completion of key actions, use of features that predict retention.

### Step 6. Review expansion and upgrades
Invite rates, seats per account, upgrade prompts, self-serve checkout.

### Step 7. Review sales assist and PQLs
Which signals exist, how they're used, how sales engages.

### Step 8. Review data and metrics
Tracking quality, dashboards, cohort views.

### Step 9. Score and plan
Score each area 0 to 3; prioritise by revenue at stake; build a 90-day plan.

## PLG funnel template
```
| Stage | Definition | Users | Conversion | Benchmark or target | Biggest problem |
| Sign-up | Account created | 10,000 | - | - | - |
| Activated | Reached first value action within 7 days | 3,200 | 32% | 40% | Empty first screen |
| Habit | Active in 3 of first 4 weeks | 1,500 | 47% | 55% | Few reminders of value |
| Team | 2+ active users in workspace | 700 | 47% | - | Invite buried |
| Paid | Converted to paid within 90 days | 400 | 4% of sign-ups | - | Limits rarely reached |
```

## Signs PLG is not the right primary motion
- Value only appears after long implementation or data migration.
- Buyers are committees that never use the product themselves.
- The minimum price is far above what individuals can approve.
- Regulation requires heavy onboarding or verification.
In these cases, a product-led sales hybrid or a free assessment may fit better than full self-serve.

## Edge cases and judgement calls
| Situation | What to do |
|---|---|
| Enterprise buyers but individual users | Product-led sales: free usage plus sales assist |
| Very low price, high volume | Fully self-serve with automation; minimal sales |
| Long time to value | Templates, sample data, guided setup or done-for-you onboarding |
| Freemium cannibalising paid | Revisit limits and gates with data |
| No product analytics | Instrument key events before deeper analysis |

## Handoffs to specialist skills
- Strategy and motion: `plg-strategy`
- Free model: `free-model-design`
- In-product onboarding: `in-product-onboarding`
- Feature adoption: `feature-adoption`
- Product-qualified leads: `product-qualified-leads`
- Sales assist: `product-led-sales`
- Upgrades: `in-app-upgrade-prompts`
- Expansion and invites: `team-expansion-invites`
- In-app messaging: `in-app-messaging`
- Templates and integrations: `templates-integrations-growth`
- Education: `product-education`
- Metrics: `plg-metrics`
- Sign-up flow: the CRO `signup-flow-optimisation` skill
- Lifecycle emails: the CRM and Lifecycle `onboarding-activation` skill

## Worked example
A collaboration SaaS had strong sign-up growth but free-to-paid conversion under 2%. The audit found activation undefined, a ten-step product tour that few completed, a free plan that covered almost every small team's needs, invites buried in settings and sales calling every new sign-up. The plan defined activation as creating a project and inviting one teammate within seven days, replaced the tour with templates and a short checklist, introduced a project limit on free plans with an upgrade prompt at the limit, moved invites into the first-run flow and routed only product-qualified accounts to sales. Activation and conversion to paid rose over two quarters, and sales spent time on accounts that were ready.

## Output format
```
# PLG audit: <product>, <date>
## Summary (biggest leak, first moves)
## Fit assessment
## Product journey funnel with conversion and sizing
## Findings by area with scores
## 90-day plan with owners and metrics
```

## Common mistakes
- Calling a free trial a PLG strategy.
- Measuring sign-ups instead of activation and paid conversion.
- Free plans with no reason to upgrade.
- Sales calling every sign-up.
- No product analytics.

## Questions to ask before you recommend changes
- What is the first moment users get real value, and how long does it take?
- Why do free users upgrade, in their words?
- Which product signals show an account is ready for sales?

## Self-check before you answer
- Is PLG fit assessed with evidence?
- Is the product journey measured stage by stage?
- Are findings sized by revenue at stake?
- Does each action have a skill, owner and metric?

## Further reading
- Wes Bush, Product-Led Growth (2019)
- OpenView Partners product benchmarks (archived research): https://openviewpartners.com/blog/

---
Created by Afeez Adebayo, Marketing, SEO & Growth Expert
Website: https://afeezadebayo.com
LinkedIn: https://www.linkedin.com/in/afeez-adebayo/
X: https://x.com/za_icon
Source: https://afeezadebayo.com/skills-md/marketing/product-led-growth/plg-audit/

Licence: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). You may copy, share and adapt this skill, including for commercial use, as long as you credit Afeez Adebayo and link to the source URL above. Keep this notice in any copy or adapted version.

Workflow

Step 1. Check fit

Can users get value without help? Is the price low enough for self-serve at some level? Do individual users choose tools?

Step 2. Map the product journey

Sign-up, setup, first value, habit, team adoption, upgrade, expansion, with conversion at each stage.

Step 3. Find the biggest leak

Compare stages with benchmarks you trust and your own cohorts; size the revenue at stake.

Step 4. Review the free model

What's free, what's limited, what triggers upgrades, how many free users hit limits.

Step 5. Review onboarding and adoption

Time to value, completion of key actions, use of features that predict retention.

Step 6. Review expansion and upgrades

Invite rates, seats per account, upgrade prompts, self-serve checkout.

Step 7. Review sales assist and PQLs

Which signals exist, how they're used, how sales engages.

Step 8. Review data and metrics

Tracking quality, dashboards, cohort views.

Step 9. Score and plan

Score each area 0 to 3; prioritise by revenue at stake; build a 90-day plan.

PLG funnel template

| Stage | Definition | Users | Conversion | Benchmark or target | Biggest problem |
| Sign-up | Account created | 10,000 | - | - | - |
| Activated | Reached first value action within 7 days | 3,200 | 32% | 40% | Empty first screen |
| Habit | Active in 3 of first 4 weeks | 1,500 | 47% | 55% | Few reminders of value |
| Team | 2+ active users in workspace | 700 | 47% | - | Invite buried |
| Paid | Converted to paid within 90 days | 400 | 4% of sign-ups | - | Limits rarely reached |

Signs PLG is not the right primary motion

  • Value only appears after long implementation or data migration.
  • Buyers are committees that never use the product themselves.
  • The minimum price is far above what individuals can approve.
  • Regulation requires heavy onboarding or verification.

In these cases, a product-led sales hybrid or a free assessment may fit better than full self-serve.

Edge cases and judgement calls

SituationWhat to do
Enterprise buyers but individual usersProduct-led sales: free usage plus sales assist
Very low price, high volumeFully self-serve with automation; minimal sales
Long time to valueTemplates, sample data, guided setup or done-for-you onboarding
Freemium cannibalising paidRevisit limits and gates with data
No product analyticsInstrument key events before deeper analysis

Handoffs to specialist skills

  • Strategy and motion: plg-strategy
  • Free model: free-model-design
  • In-product onboarding: in-product-onboarding
  • Feature adoption: feature-adoption
  • Product-qualified leads: product-qualified-leads
  • Sales assist: product-led-sales
  • Upgrades: in-app-upgrade-prompts
  • Expansion and invites: team-expansion-invites
  • In-app messaging: in-app-messaging
  • Templates and integrations: templates-integrations-growth
  • Education: product-education
  • Metrics: plg-metrics
  • Sign-up flow: the CRO signup-flow-optimisation skill
  • Lifecycle emails: the CRM and Lifecycle onboarding-activation skill

Worked example

A collaboration SaaS had strong sign-up growth but free-to-paid conversion under 2%. The audit found activation undefined, a ten-step product tour that few completed, a free plan that covered almost every small team's needs, invites buried in settings and sales calling every new sign-up. The plan defined activation as creating a project and inviting one teammate within seven days, replaced the tour with templates and a short checklist, introduced a project limit on free plans with an upgrade prompt at the limit, moved invites into the first-run flow and routed only product-qualified accounts to sales. Activation and conversion to paid rose over two quarters, and sales spent time on accounts that were ready.

Output format

# PLG audit: <product>, <date>
## Summary (biggest leak, first moves)
## Fit assessment
## Product journey funnel with conversion and sizing
## Findings by area with scores
## 90-day plan with owners and metrics

Common mistakes

  • Calling a free trial a PLG strategy.
  • Measuring sign-ups instead of activation and paid conversion.
  • Free plans with no reason to upgrade.
  • Sales calling every sign-up.
  • No product analytics.

Questions to ask before you recommend changes

  • What is the first moment users get real value, and how long does it take?
  • Why do free users upgrade, in their words?
  • Which product signals show an account is ready for sales?

Self-check before you answer

  • Is PLG fit assessed with evidence?
  • Is the product journey measured stage by stage?
  • Are findings sized by revenue at stake?
  • Does each action have a skill, owner and metric?

Further reading

When to use this skill, and when not to

Use it when sign-ups grow but revenue does not, when adding a free plan or trial, when moving from sales-led to product-led or adding sales to PLG, before pricing changes and in annual planning.

Many companies add a free plan and call themselves product-led, then find sign-ups do not become revenue. The causes sit between the pieces: a free offer that gives away too much, onboarding that never reaches value, no signals for sales and upgrade prompts at the wrong time.

Don’t use it for sign-up forms (use the CRO Sign-Up Flow skill) or pricing strategy (use the Product Marketing Pricing skill).

Example prompts

  • “Sign-ups doubled but revenue barely moved. Audit our PLG.”
  • “Where does our product-led funnel leak?”
  • “Score our PLG motion and give me a 90-day plan.”
  • “Is our free plan hurting conversion?”
  • “Should sales call every new sign-up?”

Example output

The skill returns a fixed structure. A shortened example for an imaginary site:

# PLG audit: example collaboration SaaS, 12 October 2026

Free-to-paid: under 2%
Findings: activation undefined; 10-step tour few complete; free plan covers most small teams; invites buried; sales calls every sign-up
Plan: activation = project + 1 invite in 7 days; templates and checklist; project limit with upgrade prompt; invites in first run; PQL routing

Each finding is sized by revenue at stake, so the team fixes the biggest leak first, usually activation, then conversion, then expansion.

What the agent needs from you

The skill asks for the product, pricing, free model and target users and buyers, funnel data from sign-up to expansion, the activation definition, onboarding and messaging tools, how sales and success engage self-serve users and product analytics access.

How this skill hands off to related skills

How to run the PLG Audit step by step

  1. Install the skill as plg-audit/SKILL.md, with the other 12 PLG skills.
  2. Check fit for self-serve.
  3. Map the product journey with conversion per stage.
  4. Review free model, onboarding and upgrades.
  5. Review PQLs, sales assist and data.
  6. Score and plan 90 days.

Situations this skill handles

PLG motions vary. The audit handles these situations:

SituationWhat the skill does
Enterprise buyers, individual usersProduct-led sales hybrid
Very low price, high volumeFully self-serve automation
Long time to valueTemplates, sample data, guided setup
Freemium cannibalising paidLimits revisited with data
No product analyticsInstrument key events first
Sales calls every sign-upPQL routing

What makes this skill different

Most PLG reviews look at sign-ups and conversion rates. This skill follows users through every stage inside the product, checks whether the free offer and upgrade moments fit how value grows, and reviews whether sales spends time on ready accounts.

It sizes each finding by revenue, so the plan starts where it matters most.

Practical tips from real projects

  • Value before payment.
  • Measure the journey in the product.
  • Free must serve growth.
  • Fix the biggest leak first.

A worked example: a collaboration SaaS had strong sign-up growth but free-to-paid conversion under 2%. The audit found activation undefined, a ten-step product tour few completed, a free plan that covered almost every small team need, invites buried in settings and sales calling every new sign-up. The plan defined activation as creating a project and inviting one teammate within seven days, replaced the tour with templates and a short checklist, introduced a project limit on free plans with an upgrade prompt at the limit, moved invites into the first-run flow and routed only product-qualified accounts to sales. Activation and conversion to paid rose over two quarters, and sales spent time on accounts that were ready.

The audit covers eleven areas: strategy and fit, free model, activation, in-product onboarding, feature adoption, expansion and invites, upgrade paths, product-qualified leads, product-led sales, in-app messaging and education, and metrics and data. Typical findings include complex products forced into self-serve, free plans with few reasons to upgrade, undefined activation, unfinished tours, hidden valuable features, buried invites, upgrade asks only on day one, sales calling everyone, uncoordinated pop-ups and reports showing only sign-ups and revenue.

The funnel template tracks each stage with its definition, users, conversion, target and biggest problem: sign-up, activation within seven days, habit over the first four weeks, team formation with two or more active users and paid conversion within 90 days.

Some products are not a fit for pure self-serve: value that only appears after long implementation, buyers who never use the product, minimum prices far above what individuals approve or regulation that requires heavy onboarding. In those cases a product-led sales hybrid or a free assessment usually fits better.

Each area is scored from 0 to 3, findings are ranked by revenue at stake and effort, and every action in the 90-day plan has a specialist skill, an owner and a metric.

The audit also reviews how free users reach limits and what share upgrade afterwards, how quickly new users reach the value moment, which features predict retention, how often teammates are invited, which signals tell sales an account is ready and whether product, billing and CRM data connect at account level. Enterprise products with individual users usually need a product-led sales hybrid; very low-price, high-volume products need full automation with minimal sales; products with long time to value need templates, sample data or guided setup. If product analytics are missing, the first step is instrumenting the key events from sign-up to expansion, because the rest of the audit depends on them.

Findings are shared across product, growth and sales teams.

Frequently asked questions

Fit, free model, activation, onboarding, feature adoption, invites, upgrade paths, PQLs, sales assist, in-app messaging, education and metrics.

Usually because users never reach value, the free plan covers their needs or upgrade moments are poorly designed.

Typically activation, then conversion to paid, then expansion, depending on where the biggest leak sits.

Check time to value, who chooses the tool, entry price, setup effort, natural spread and compliance needs.

Yes; key events from sign-up to expansion are essential, so instrument them first if missing.

Yearly and after major changes to pricing, the free model or sales coverage.

Changelog

  • 1.0.0, 10 October 2026: first release.

Use, adapt and share this skill under CC BY 4.0: credit Afeez Adebayo and link to this page.