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Reverse Freemium Design

Community
ojiudezue
reverse-freemium-design

Use when the user is designing a trial, freemium tier, or PLG conversion flow. Triggers on phrases like "trial length", "freemium", "PLG", "free tier", "what should be paid", "convert free users", "trial conversion", "paywall", "how long should the trial be". Implements the 4-element Reverse Freemium Design framework from Ch 5 of Building Rocketships.

Overview

Publisherojiudezue
Repositoryproductmind-skills
Skill namereverse-freemium-design
Stars
81
Forks
18
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ojiudezue on GitHub. Read the source before you install it.

Installation

Install the Reverse Freemium Design AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ojiudezue/productmind-skills/tree/main/skills/reverse-freemium-design
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ojiudezue/productmind-skills.git /tmp/productmind-skills
mkdir -p .claude/skills
cp -r /tmp/productmind-skills/skills/reverse-freemium-design .claude/skills/reverse-freemium-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Reverse Freemium Design in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Reverse Freemium Design on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Reverse Freemium Design is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Reverse Freemium Design

What this does

Runs Ch 5's 4-element Reverse Freemium Design framework on a product or trial configuration. Returns a recommended trial length tied to usage frequency, a free-vs-paid feature segmentation, an end-of-trial communication plan, and a post-trial retention plan. Refuses to recommend paywalling the final step of the core workflow — the book's hard anti-pattern.

When to use

Trigger when the user:

  • Is designing a freemium or trial-to-paid conversion flow
  • Asks "how long should the trial be"
  • Asks "what should be free vs paid"
  • Is shipping a PLG (product-led growth) product
  • Is reconsidering an existing pricing/freemium model that isn't converting

When NOT to use

  • The product is pre-PMF and there is no working core workflow yet — run sharp-problem-test and aha-mapper first
  • The product is enterprise sales-led with no self-serve trial — Ch 5's framework doesn't apply; sales trials in a PLG market are a separate anti-pattern
  • The user is asking about absolute pricing (dollar amounts) — that's pricing-tier-math, not this skill

The 4 elements (from Ch 5)

1. Trial length tied to usage frequency

The book's table — the more often a customer uses the product, the shorter the trial needs to be to demonstrate value:

Usage frequencyRecommended trial
4× per month or less30 days
1–2× per week20 days
3–5× per week14 days
5–7× per week10 days
Daily or multiple times per day7 days

The logic: trial length must be long enough for the user to hit the aha moment AND form a habit. Daily-use products form habits in a week. Monthly- use products need a full cycle.

2. End-of-trial messaging

A specific, dated, no-surprise communication sequence. Touchpoints at:

  • Trial start (welcome + the path to aha)
  • Mid-trial (usage check-in + nudges to the unused activation steps)
  • 3 days before end (price + value reminder + frictionless upgrade path)
  • Day of end (last call + graceful downgrade option)

No silent expirations. No surprise charges. The book is explicit: surprise billing destroys trust permanently.

3. Free-tier feature segmentation

Decision rule: the free tier MUST complete the core workflow end-to-end. The paid tier delivers scale, collaboration, or advanced configuration on top of that workflow — never IN it.

Concretely:

  • Free = the smallest loop that delivers the aha moment, runnable forever, at limited scale
  • Paid = higher limits (more users, more storage, more runs), team features (sharing, admin, SSO), or advanced configs (custom domains, API access, integrations)

If you cannot describe the free tier as "completes the core workflow at limited scale," you have not segmented correctly.

4. Post-trial retention

When a trial ends without conversion, the framework says: drop the user to the free tier, not to nothing. The user who didn't convert this month may convert in 3 months when their usage grows. Cutting them off entirely destroys that path.

If your product has no free tier (true trial-only), the post-trial state is "read-only access to what they created during trial" — never a hard delete of their data.

The decision rule

A reverse-freemium design passes if all four:

  1. Trial length matches the usage frequency table (±20%)
  2. End-of-trial messaging has at least the 4 named touchpoints
  3. Free tier completes the core workflow at limited scale; nothing in the core loop is paywalled
  4. Post-trial retention preserves user state and offers a free-tier landing

If any axis fails, the design is broken — name which and how to fix it.

Inputs

  • Usage frequency (the user's estimate or measured data)
  • The named core workflow (output from aha-mapper if available)
  • Proposed or existing free/paid feature split
  • (Optional) competitor freemium models for anchoring

Output structure

## Trial design verdict: [SOUND | UNSOUND | NEEDS_MORE_EVIDENCE]

### Usage frequency
[Measured or estimated frequency + which row of the table applies]

### Recommended trial length
[N days, per the table, with explicit justification if deviating]

### Free tier
- Completes core workflow: [yes/no, with the named workflow]
- Features: [list]
- Limits: [list — the throttles that drive upgrade]

### Paid tier
- Scale features: [list]
- Collaboration features: [list]
- Advanced configs: [list]

### End-of-trial messaging
[The 4 touchpoints with copy direction]

### Post-trial retention
[What happens on day N+1 if no upgrade]

### Anti-pattern check
[Whether the free tier paywalls any step of the core workflow]

### Recommendation
[Concrete next step]

### Analogous case from the book
[A named example]

Worked example from the book

Calendly (Ch 5) → SOUND

  • Usage frequency: 3–5× per week for sales/recruiting roles
  • Trial length: 14-day Pro trial — matches the table
  • Free tier: book one event type, schedule unlimited 1:1s with a single calendar. Completes the core scheduling workflow end-to-end.
  • Paid tier: multiple event types, team scheduling, automated reminders, workflows, integrations. Delivers scale + collaboration + advanced configs on top of the working free workflow.
  • End-of-trial: reminder at day 11, last call at day 14, frictionless downgrade to free.
  • Post-trial: full free-tier access preserved; no data deletion.
  • Anti-pattern check: free tier does NOT paywall the final scheduling step. A free user can fully book meetings end-to-end.
  • Verdict: SOUND. The defining example of the framework.

Gotchas

  • Don't trust the user's self-reported frequency. Ask for data. Most "daily" products are actually 3–5× per week when measured.
  • The trial-length table is not optional. Calendly tried 30-day trials early on; conversion dropped because the urgency vanished. The lengths in the table are calibrated to habit formation, not generosity.
  • "Free for 14 days" is NOT a free tier. A free tier is forever-free at limited scale. A 14-day trial that ends is a trial, not a free tier. Most products need both.
  • Drop-to-free, not drop-to-locked. The retention math says some users convert in month 6, not month 1. Locking them out costs you those.

Anti-patterns to flag

If the user's design has any of these, surface them and refuse:

  • "Free until you actually try to ship/save/export/share" — the paywalled- final-step anti-pattern. The book is explicit: refuse this. Cite Ch 5.
  • "30-day trial for a daily product" — too long. Urgency vanishes.
  • "7-day trial for a monthly product" — too short. User never hits a full usage cycle.
  • "No free tier, just trial-then-paid" — possible in some markets but the default in PLG is freemium. Push back unless the market is genuinely trial-only (single-purchase software, narrow vertical SaaS).
  • Sales trials in a PLG market — separate anti-pattern from CLAUDE.md.

Source

Ch 5: Reverse Freemium Design.


About this skill

This skill is part of the ProductMind Skills catalog — open-source product-judgment skills for AI coding agents.

Source: Building Rocketships by Oji and Ezinne Udezue — Chapter 5. This skill applies one named framework from the book. It works standalone in any agent that supports the SKILL.md standard.

Want the orchestrated version? The RocketshipsGPT agent runs all 13 book skills together, with persistent memory, framework-fidelity evals, voice-checked output, and the book's anti-pattern catches built in. → rocketshipsgpt.productmind.co

License: Skill content licensed under CC BY-SA 4.0. Attribution required; derivative works must share alike. See ADR 0005 for rationale.

Skill version: 1.0.0 · Published: 2026-06-05

Frequently asked questions

What does the Reverse Freemium Design AI skill do?

Use when the user is designing a trial, freemium tier, or PLG conversion flow. Triggers on phrases like "trial length", "freemium", "PLG", "free tier", "what should be paid", "convert free users", "trial conversion", "paywall", "how long should the trial be". Implements the 4-element Reverse Freemium Design framework from Ch 5 of Building Rocketships.

Why use Reverse Freemium Design on TypingMind?

Because you install it once and use it with any model. Reverse Freemium Design is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Reverse Freemium Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ojiudezue/productmind-skills/tree/main/skills/reverse-freemium-design. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Reverse Freemium Design?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Reverse Freemium Design?

As many as you like. As long as a model supports skills, you can use Reverse Freemium Design with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Reverse Freemium Design AI skill free?

It is published on GitHub by ojiudezue. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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