Immediate result: A step-by-step review of your onboarding with friction points, the behavioural principle behind each and fixes.
Problem it solvesNew users drop out during onboarding and the team doesn't know which step to fix.
Step 1 sign up (8 fields) → 2 verify email → 3 choose plan → 4 tutorial (6 screens) → 5 dashboard
Time to first value: 5 steps, ~4 minutes, before seeing anything useful.
Step 1: 8 fields — ask for email only (cognitive load).
Step 4: replace the tutorial with a pre-filled sample project (paradox of the active user).
New users drop out during onboarding and teams can't tell which step to fix. This skill maps your onboarding step by step, measures how long it takes to reach first value, and flags friction: unnecessary fields, early sign-up walls, choice overload and unclear value. Every issue is linked to a behavioural principle such as cognitive load, the goal-gradient effect or the default effect, with a fix and its likely impact. It's the same lens Science of Apps uses in its behavioural UX audits, packed into one paste. To use it, paste the skill into your assistant and send each onboarding step described (screen, fields, copy, buttons) and drop-off rates if you have them.
# Skill: Onboarding flow audit
You are running the "Onboarding flow audit" skill for me. I work as: PM / growth. What I need from you: a step-by-step review of my onboarding with friction points, the behavioural principle behind each and fixes.
## When I send you each onboarding step described (screen, fields, copy, buttons) and drop-off rates if I have them
1. Map the steps and time to first value.
2. Flag friction: unnecessary fields, early sign-up walls, choice overload, unclear value.
3. Name the behavioural principle behind each issue.
4. Recommend fixes ranked by impact.
## Reply in this format
- Flow map
- Time to first value
- Issues table: step, issue, principle, fix, impact
- Top 3 fixes
- What to measure
## Rules
- Link each issue to a principle (e.g. cognitive load, goal-gradient effect, default effect).
- Use only the facts I give you; mark anything you had to assume with [ASSUMPTION].
- If something essential is missing, ask me one short question, then continue.
- No preamble or filler: start with the result.
Confirm you're ready in one line, then wait for me to send each onboarding step described (screen, fields, copy, buttons) and drop-off rates if I have them.Then sendEach onboarding step described (screen, fields, copy, buttons) and drop-off rates if you have them. For example: Step 1 sign up (8 fields) → 2 verify email → 3 choose plan → 4 tutorial (6 screens) → 5 dashboard
Upload it to Claude, add it to ChatGPT's Codex app, clone it into Claude Code, or download the SKILL.md for any agent. Full guide with screenshots →
Download the ZIP and upload it in Claude. Claude then uses the skill on its own whenever a request matches.
Download ZIP
OpenAI's Codex app reads the same SKILL.md format. Copy the skill into your Codex skills folder:
$ git -c http.version=HTTP/1.1 clone https://scienceofapps.com/skills/ai-skills.git
$ cp -r ai-skills/onboarding-flow-audit ~/.codex/skills/
Clone the library and copy this skill into your Claude Code skills folder.
$ git -c http.version=HTTP/1.1 clone https://scienceofapps.com/skills/ai-skills.git
$ cp -r ai-skills/onboarding-flow-audit ~/.claude/skills/~/.claude/skills/ for all projects, or .claude/skills/ inside one project.Download the skill file and put it in a folder named after the skill.
Download SKILL.md~/.claude/skills/onboarding-flow-audit/SKILL.md.Repositoryscienceofapps.com/skills/ai-skills.git · all 200 skills, one folder each, plain git over HTTPS
New users drop out during onboarding and the team doesn't know which step to fix. The skill fixes that: a step-by-step review of your onboarding with friction points, the behavioural principle behind each and fixes.
Copy the skill and paste it as the first message of a new chat, then send your input. To keep it, paste it into a ChatGPT Project or custom GPT, a Claude Project or a Gemini Gem, or upload the SKILL.md file as a Claude Skill.
Send each onboarding step described (screen, fields, copy, buttons) and drop-off rates if you have them. If something essential is missing, the skill asks you one short question and then continues.
Yes. It's free to copy, use and adapt, with no sign-up, and works in the free versions of ChatGPT, Claude, Gemini and Copilot.
ProblemPricing tiers are copied from a competitor and don't match how customers get value.
Appointment app for salons, ₹999/month flat, users: solo stylists to 10-chair salons
Value metric: chairs (staff calendars).
Solo ₹499 (1 chair) · Studio ₹1,499 (up to 5) · Salon ₹2,999 (up to 15)
Upgrade trigger: adding a second stylist's calendar.
Immediate resultTwo or three tiers built on a value metric, with features per tier and the reasoning.
ProblemTeams work on features without knowing which input metric they move.
Language learning app, freemium, revenue from subscriptions
North Star: weekly learners completing ≥ 3 lessons
= new learners activated + retained learners + resurrected learners
Activated ← onboarding completion × first-lesson completion
Immediate resultA metrics tree from your North Star to the input metrics each team can own.
ProblemLaunches miss something obvious — support isn't briefed, tracking isn't live, the FAQ is empty.
Launching UPI payments in our app on 15 November
T-7 · Support: macros for 'payment pending' and refunds
T-1 · Analytics: payment_succeeded and payment_failed events verified
Go/no-go: success rate ≥ 97% in the 5% rollout.
Immediate resultA launch checklist across product, engineering, marketing, support, legal and analytics with owners.
All 14 product management skillsAll 200 skillsRead it in the articleProve it: AI for Product Managers Certification (free test)
60 research-backed principles in 6 categories — what each one means, why it works on the human brain and how to use it on your own screens. Written by Sushant Singh, founder of Science of Apps, who has scaled consumer apps to lacs of users and spent 10+ years leading product across startups and digital businesses in the US, EU & India.
110 real paywalls from top apps, taken apart, rated out of 5 and decoded with the Laws of UX — plus the frameworks, copy and checklists to ship your own. By Sushant Singh, founder of Science of Apps.