Product-Led Growth skill 02 of 13

Product-Led Growth Strategy SKILL.md

The PLG Strategy skill makes Claude, Codex or another AI agent decide whether and how to be product-led. It assesses fit on time to value, who chooses the tool, entry price, setup, spread and compliance, chooses a motion from pure self-serve to product-led sales or a free entry point, validates the value moment, maps the path to revenue and sets an operating model and shared metrics.

plg-strategy/SKILL.md, version 1.0.0, 1,522 words.

Product-led growth works brilliantly for some products and badly for others. It suits products individuals can try and benefit from quickly, at a price they or a small team can approve, where usage naturally spreads to colleagues. It struggles where value needs months of implementation, where buyers never touch the product or where trust and compliance demand human onboarding. Many companies choose PLG because successful peers did, rather than because their product and market fit it, and then bolt on sales when self-serve stalls.

This skill decides whether and how to be product-led: assessing fit, choosing a motion (pure self-serve, product-led sales hybrid, sales-led with a free entry point), defining the value moment and the path from free user to paying team, setting the operating model across product, marketing, sales and success, and choosing metrics.

Operating principles

  1. Fit before fashion. Choose PLG because users can reach value on their own, not because it's popular.
  2. The product is the first salesperson. Design the experience so value is obvious without a demo.
  3. Hybrid is normal. Most growing PLG companies add sales for larger accounts; plan for it.
  4. One value moment, clearly defined. Everyone should know what activation means.
  5. Shared ownership. PLG fails when product and go-to-market teams optimise different numbers.

Motion options

MotionHow it worksFits when
Pure self-serveUsers sign up, activate and pay without talking to anyoneLow price, simple setup, individual or small team buyers
Product-led salesFree or trial usage creates signals; sales helps larger accounts upgrade and expandIndividual adoption inside companies that buy at team or company level
Sales-led with free entryFree tool, trial or assessment generates qualified conversationsComplex products with clear early value moments
Community-led with productCommunities and templates drive discovery; product convertsPractitioner tools with strong communities

Fit assessment

QuestionStrong PLG fitWeak PLG fit
Time to first valueMinutes to daysWeeks to months
Who chooses the toolEnd users or team leadsProcurement or committees only
Entry priceIndividuals or teams can approveLarge contracts only
SetupSelf-serve with templatesHeavy integration or migration
SpreadUse naturally involves colleaguesIsolated single-user use
Market sizeMany potential usersFew, large buyers
ComplianceLightHeavy verification or contracts upfront

When to use, and when not to

Use it when launching a new product, considering a free plan or trial, moving from sales-led to product-led or adding sales to a self-serve product.

Don't use it to design the free plan details (free-model-design) or detailed pricing (the Product Marketing pricing-packaging skill).

Inputs to ask for, in one message

  1. Product, users, buyers and typical deal sizes.
  2. Current motion and its results.
  3. Time to first value and setup effort today.
  4. Competitors' motions.
  5. Team structure across product, marketing, sales and success.
  6. Business goals and constraints.

Raw SKILL.md file

.md

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

---
name: plg-strategy
description: "Decide whether and how to be product-led: a fit assessment on time to value, who chooses, entry price, setup, spread and compliance, motion choices from pure self-serve to product-led sales and free entry points, a validated value moment, the path from free user to expanding account, an operating model across teams and shared metrics. Use whenever someone asks whether to go product-led, PLG strategy, product-led sales, self-serve versus sales-led, adding sales to a self-serve product, defining the aha moment or planning a PLG motion."
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-strategy/
  category: marketing
  subcategory: product-led-growth
  version: "1.0.0"
  created: "2026-10-10"
  updated: "2026-10-10"
---

# Product-Led Growth Strategy

Product-led growth works brilliantly for some products and badly for others. It suits products individuals can try and benefit from quickly, at a price they or a small team can approve, where usage naturally spreads to colleagues. It struggles where value needs months of implementation, where buyers never touch the product or where trust and compliance demand human onboarding. Many companies choose PLG because successful peers did, rather than because their product and market fit it, and then bolt on sales when self-serve stalls.

This skill decides whether and how to be product-led: assessing fit, choosing a motion (pure self-serve, product-led sales hybrid, sales-led with a free entry point), defining the value moment and the path from free user to paying team, setting the operating model across product, marketing, sales and success, and choosing metrics.

## Operating principles
1. **Fit before fashion.** Choose PLG because users can reach value on their own, not because it's popular.
2. **The product is the first salesperson.** Design the experience so value is obvious without a demo.
3. **Hybrid is normal.** Most growing PLG companies add sales for larger accounts; plan for it.
4. **One value moment, clearly defined.** Everyone should know what activation means.
5. **Shared ownership.** PLG fails when product and go-to-market teams optimise different numbers.

## Motion options
| Motion | How it works | Fits when |
|---|---|---|
| Pure self-serve | Users sign up, activate and pay without talking to anyone | Low price, simple setup, individual or small team buyers |
| Product-led sales | Free or trial usage creates signals; sales helps larger accounts upgrade and expand | Individual adoption inside companies that buy at team or company level |
| Sales-led with free entry | Free tool, trial or assessment generates qualified conversations | Complex products with clear early value moments |
| Community-led with product | Communities and templates drive discovery; product converts | Practitioner tools with strong communities |

## Fit assessment
| Question | Strong PLG fit | Weak PLG fit |
|---|---|---|
| Time to first value | Minutes to days | Weeks to months |
| Who chooses the tool | End users or team leads | Procurement or committees only |
| Entry price | Individuals or teams can approve | Large contracts only |
| Setup | Self-serve with templates | Heavy integration or migration |
| Spread | Use naturally involves colleagues | Isolated single-user use |
| Market size | Many potential users | Few, large buyers |
| Compliance | Light | Heavy verification or contracts upfront |

## When to use, and when not to
Use it when launching a new product, considering a free plan or trial, moving from sales-led to product-led or adding sales to a self-serve product.

Don't use it to design the free plan details (`free-model-design`) or detailed pricing (the Product Marketing `pricing-packaging` skill).

## Inputs to ask for, in one message
1. Product, users, buyers and typical deal sizes.
2. Current motion and its results.
3. Time to first value and setup effort today.
4. Competitors' motions.
5. Team structure across product, marketing, sales and success.
6. Business goals and constraints.

## Workflow

### Step 1. Assess fit
Score the fit questions with evidence from users and data.

### Step 2. Choose the motion
Pick the primary motion and plan when sales assist joins (for example accounts above a seat count or spend).

### Step 3. Define the value moment
The action or result that shows a user has experienced value; validate it against retention data.

### Step 4. Map the path to revenue
Free or trial user, activated user, habitual user, team, paying team, expanding account.

### Step 5. Design the operating model
Who owns each stage; shared metrics; how product, growth, marketing, sales and success work together.

### Step 6. Plan the first improvements
Usually reducing time to value, clarifying the free model and adding product-qualified lead signals.

### Step 7. Set metrics and reviews
Activation rate, time to value, free-to-paid conversion, expansion, net revenue retention and payback.

## Path to revenue template
```
| Stage | Definition | Owner | Key lever | Metric |
| Visitor to sign-up | Creates account | Marketing | Clear value, low friction | Sign-up rate |
| Sign-up to activated | Reaches value moment within 7 days | Product and growth | Onboarding, templates | Activation rate |
| Activated to habit | Uses weekly for 4 weeks | Product | Core value, reminders | Week-4 retention |
| Habit to team | Invites colleagues | Product | Collaboration features | Invite rate |
| Team to paid | Upgrades | Product, sales assist | Limits, prompts, PQLs | Free-to-paid rate |
| Paid to expansion | Adds seats or plans | Success, sales | Usage growth | Net revenue retention |
```

## Operating model
| Team | PLG responsibility |
|---|---|
| Product and growth | Activation, onboarding, in-product upgrades, experiments |
| Marketing | Acquisition, positioning, education, community |
| Sales | Product-led sales on qualified accounts |
| Customer success | Expansion, retention, enterprise onboarding |
| Data | Tracking, PQL models, dashboards |
A weekly PLG review across these teams keeps the motion connected.

## Validating the value moment
Compare retention for users who completed each candidate action in their first week against those who didn't. Pick the action that best separates retained from churned users, is reached by a meaningful share of sign-ups and can be influenced by product changes. Recheck it every six to twelve months as the product changes.

## Edge cases and judgement calls
| Situation | What to do |
|---|---|
| Enterprise product with individual users | Product-led sales; free usage for individuals, sales for company rollouts |
| Long time to value | Templates, sample data, guided setup, or a free assessment instead of full self-serve |
| Existing sales team resists PLG | Show how PQLs bring warmer leads; agree rules of engagement |
| Regulated industry | Gated trials with verification; human onboarding for regulated steps |
| Marketplace or two-sided products | Define value moments for each side |

## Handoffs to related skills
- Audit: `plg-audit`
- Free model: `free-model-design`
- Onboarding: `in-product-onboarding`
- PQLs and sales assist: `product-qualified-leads`, `product-led-sales`
- Metrics: `plg-metrics`
- Go-to-market planning: the Product Marketing `go-to-market-plan` skill
- North star and metric trees: the Growth Marketing `north-star-metric-tree` skill

## Worked example
A data visualisation startup sold through demos with long cycles. Fit assessment showed analysts could connect a spreadsheet and build a useful chart in minutes, individual analysts chose tools and team plans fitted departmental budgets. The company launched a free plan for individuals with a product-led sales layer for teams of ten or more, defined the value moment as publishing a first dashboard within three days and set up a weekly PLG review across product, marketing and sales. Within a year, most new revenue came from self-serve teams, and sales closed larger deals faster because prospects were already users.

## Output format
```
# PLG strategy: <product>, <date>
## Fit assessment
## Chosen motion and when sales joins
## Value moment (validated)
## Path to revenue with owners and metrics
## Operating model
## First improvements
## Metrics and review cadence
```

## Common mistakes
- Choosing PLG because competitors did.
- No clear value moment.
- Ignoring when sales should help.
- Product and sales chasing different goals.
- Measuring sign-ups as success.

## Questions to ask before you decide
- Can a new user get real value without help, and how fast?
- Who chooses and who pays for the product?
- At what account size does sales add value?

## Self-check before you answer
- Is fit assessed with evidence?
- Is the motion chosen with a plan for sales assist?
- Is the value moment validated against retention?
- Are ownership and metrics shared across teams?

## Further reading
- Wes Bush, Product-Led Growth (2019)
- Kyle Poyar, Growth Unhinged newsletter: https://www.growthunhinged.com/

---
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-strategy/

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. Assess fit

Score the fit questions with evidence from users and data.

Step 2. Choose the motion

Pick the primary motion and plan when sales assist joins (for example accounts above a seat count or spend).

Step 3. Define the value moment

The action or result that shows a user has experienced value; validate it against retention data.

Step 4. Map the path to revenue

Free or trial user, activated user, habitual user, team, paying team, expanding account.

Step 5. Design the operating model

Who owns each stage; shared metrics; how product, growth, marketing, sales and success work together.

Step 6. Plan the first improvements

Usually reducing time to value, clarifying the free model and adding product-qualified lead signals.

Step 7. Set metrics and reviews

Activation rate, time to value, free-to-paid conversion, expansion, net revenue retention and payback.

Path to revenue template

| Stage | Definition | Owner | Key lever | Metric |
| Visitor to sign-up | Creates account | Marketing | Clear value, low friction | Sign-up rate |
| Sign-up to activated | Reaches value moment within 7 days | Product and growth | Onboarding, templates | Activation rate |
| Activated to habit | Uses weekly for 4 weeks | Product | Core value, reminders | Week-4 retention |
| Habit to team | Invites colleagues | Product | Collaboration features | Invite rate |
| Team to paid | Upgrades | Product, sales assist | Limits, prompts, PQLs | Free-to-paid rate |
| Paid to expansion | Adds seats or plans | Success, sales | Usage growth | Net revenue retention |

Operating model

TeamPLG responsibility
Product and growthActivation, onboarding, in-product upgrades, experiments
MarketingAcquisition, positioning, education, community
SalesProduct-led sales on qualified accounts
Customer successExpansion, retention, enterprise onboarding
DataTracking, PQL models, dashboards

A weekly PLG review across these teams keeps the motion connected.

Validating the value moment

Compare retention for users who completed each candidate action in their first week against those who didn't. Pick the action that best separates retained from churned users, is reached by a meaningful share of sign-ups and can be influenced by product changes. Recheck it every six to twelve months as the product changes.

Edge cases and judgement calls

SituationWhat to do
Enterprise product with individual usersProduct-led sales; free usage for individuals, sales for company rollouts
Long time to valueTemplates, sample data, guided setup, or a free assessment instead of full self-serve
Existing sales team resists PLGShow how PQLs bring warmer leads; agree rules of engagement
Regulated industryGated trials with verification; human onboarding for regulated steps
Marketplace or two-sided productsDefine value moments for each side
  • Audit: plg-audit
  • Free model: free-model-design
  • Onboarding: in-product-onboarding
  • PQLs and sales assist: product-qualified-leads, product-led-sales
  • Metrics: plg-metrics
  • Go-to-market planning: the Product Marketing go-to-market-plan skill
  • North star and metric trees: the Growth Marketing north-star-metric-tree skill

Worked example

A data visualisation startup sold through demos with long cycles. Fit assessment showed analysts could connect a spreadsheet and build a useful chart in minutes, individual analysts chose tools and team plans fitted departmental budgets. The company launched a free plan for individuals with a product-led sales layer for teams of ten or more, defined the value moment as publishing a first dashboard within three days and set up a weekly PLG review across product, marketing and sales. Within a year, most new revenue came from self-serve teams, and sales closed larger deals faster because prospects were already users.

Output format

# PLG strategy: <product>, <date>
## Fit assessment
## Chosen motion and when sales joins
## Value moment (validated)
## Path to revenue with owners and metrics
## Operating model
## First improvements
## Metrics and review cadence

Common mistakes

  • Choosing PLG because competitors did.
  • No clear value moment.
  • Ignoring when sales should help.
  • Product and sales chasing different goals.
  • Measuring sign-ups as success.

Questions to ask before you decide

  • Can a new user get real value without help, and how fast?
  • Who chooses and who pays for the product?
  • At what account size does sales add value?

Self-check before you answer

  • Is fit assessed with evidence?
  • Is the motion chosen with a plan for sales assist?
  • Is the value moment validated against retention?
  • Are ownership and metrics shared across teams?

Further reading

When to use this skill, and when not to

Use it when launching a new product, considering a free plan or trial, moving from sales-led to product-led or adding sales to a self-serve product.

PLG suits products individuals can try and benefit from quickly, at prices they can approve, where usage spreads to colleagues. It struggles where value needs months of implementation or buyers never touch the product. Many companies choose PLG because peers did, then bolt on sales when self-serve stalls.

Don’t use it to design free plan details (use Free Model Design) or detailed pricing (use the Product Marketing Pricing skill).

Example prompts

  • “Should we add a free plan or stay sales-led?”
  • “Is our product a fit for product-led growth?”
  • “Define our value moment and validate it.”
  • “When should sales step in for self-serve accounts?”
  • “Design the operating model for PLG across teams.”

Example output

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

# PLG strategy: example data visualisation startup, 12 October 2026

Fit: analysts build a useful chart in minutes; individuals choose tools; team plans fit department budgets
Motion: free plan for individuals + product-led sales for teams of 10+
Value moment: publish first dashboard within 3 days
Operating model: weekly PLG review across product, marketing and sales

The value moment is validated against retention data rather than chosen by opinion.

What the agent needs from you

The skill asks for the product, users, buyers and deal sizes, the current motion and results, time to value and setup effort, competitor motions, team structure and business goals and constraints.

How this skill hands off to related skills

Strategy feeds the set: the Audit, Free Model, Onboarding, PQLs, Product-Led Sales and Metrics, plus GTM planning with the Product Marketing Go-to-Market Plan and metric trees with the Growth Marketing North Star skill.

How to run PLG Strategy step by step

  1. Install the skill as plg-strategy/SKILL.md.
  2. Assess fit with evidence.
  3. Choose the motion and sales threshold.
  4. Validate the value moment.
  5. Map the path to revenue with owners.
  6. Set metrics and a weekly review.

Situations this skill handles

PLG decisions vary. The skill handles these situations:

SituationWhat the skill does
Enterprise product, individual usersProduct-led sales
Long time to valueTemplates or a free assessment
Sales team resists PLGPQLs and rules of engagement
Regulated industryGated trials and human onboarding
Two-sided productsValue moments for each side
Competitors all freemiumFit assessed before copying

What makes this skill different

Most PLG strategies start with a free plan. This skill starts with fit, chooses a motion that matches the product and buyer, plans when sales joins and validates the value moment with data.

It gives every team a role and shared metrics, which is where many PLG efforts fall apart.

Practical tips from real projects

  • Fit before fashion.
  • The product is the first salesperson.
  • Hybrid is normal.
  • Shared ownership.

A worked example: a data visualisation startup sold through demos with long cycles. Fit assessment showed analysts could connect a spreadsheet and build a useful chart in minutes, individual analysts chose tools and team plans fitted departmental budgets. The company launched a free plan for individuals with a product-led sales layer for teams of ten or more, defined the value moment as publishing a first dashboard within three days and set up a weekly PLG review across product, marketing and sales. Within a year, most new revenue came from self-serve teams, and sales closed larger deals faster because prospects were already users.

Motion options suit different products. Pure self-serve fits low prices, simple setup and individual or small-team buyers. Product-led sales fits individual adoption inside companies that buy at team or company level. Sales-led with a free entry point fits complex products with clear early value moments. Community-led with product fits practitioner tools with strong communities.

The fit assessment compares strong and weak signals: time to first value in minutes to days versus weeks to months; end users choosing versus procurement only; entry prices individuals can approve versus large contracts only; self-serve setup versus heavy integration; natural spread to colleagues versus isolated use; many potential users versus few large buyers; and light versus heavy compliance.

The path to revenue maps each stage with an owner and lever: marketing drives sign-ups; product and growth drive activation through onboarding and templates; product drives habit and team invites; product and sales assist drive upgrades through limits, prompts and PQLs; success and sales drive expansion.

The operating model gives product and growth activation, onboarding, upgrades and experiments; marketing acquisition, positioning and education; sales the product-led sales motion; success expansion and enterprise onboarding; and data tracking, PQL models and dashboards, all connected through a weekly PLG review.

The value moment is validated by comparing week-one actions of retained and churned users and choosing the action that separates them best, is reached by a meaningful share of sign-ups and can be influenced by product changes.

First improvements usually focus on reducing time to value, clarifying the free model and adding product-qualified lead signals, because these three produce most early PLG gains. Metrics include activation rate, time to value, free-to-paid conversion, expansion, net revenue retention and payback, reviewed weekly by the PLG group and quarterly by leadership. When an existing sales team resists PLG, showing that PQLs bring warmer leads and agreeing rules of engagement usually helps; regulated industries use gated trials with verification and human onboarding for regulated steps; and two-sided products define value moments for each side. The value moment is rechecked every six to twelve months as the product changes, so activation keeps meaning what the team thinks it means.

Frequently asked questions

No. It fits products with fast time to value, user-chosen tools, approachable entry prices and natural spread.

A hybrid where self-serve usage creates signals and sales helps larger accounts buy and expand.

Compare retention of users who completed candidate actions early with those who did not, and choose the action that best predicts retention.

At thresholds such as seat counts, company size, enterprise feature interest or spend.

Product and growth own activation and upgrades; marketing, sales, success and data share the metrics in a weekly review.

Activation rate, time to value, free-to-paid conversion, expansion, net revenue retention and payback.

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.