GNGPTNaviAI workflow directory
ProductivityIntermediate

Turn product analytics into weekly growth experiments

Use funnels, recordings, and events to choose sharper product growth experiments instead of guessing.

Setup time

2 hours

Time saved

3-8 hours

Best for

Product teams, Founders, Growth teams, SaaS teams

Tools

PostHog, Microsoft Clarity, ChatGPT, Linear, Notion

Overview

This workflow connects product analytics with the actual weekly planning loop so insights become experiments.

When to use this workflow

Activation improvement
Onboarding optimization
Feature adoption
Conversion experiments

Tools you need

PostHog

Analytics

Freemium

Product analytics platform for events, funnels, session replay, feature flags, and experiments.

Visit website

Microsoft Clarity

Behavior analytics

Free

Free behavior analytics tool for session recordings, heatmaps, and user friction discovery.

Visit website

ChatGPT

AI assistant

Freemium

General AI assistant for drafting, reasoning, rewriting, and structured content generation.

Visit website

Linear

Product management

Freemium

Issue tracking and product planning tool for engineering, product, and growth teams.

Visit website

Notion

Workspace

Freemium

Workspace for docs, databases, calendars, SOPs, and team knowledge bases.

Visit website

Step-by-step workflow

1

Pick one metric

Choose a target metric such as activation, trial-to-paid conversion, onboarding completion, or feature adoption.

Tool used

PostHog

Expected output

One focused metric and baseline.

2

Inspect funnel drop-offs

Review the funnel and list where users drop, hesitate, repeat actions, or abandon.

Tool used

PostHog

Expected output

A friction map.

3

Watch user sessions

Review a small sample of recordings around the biggest drop-off point.

Tool used

Microsoft Clarity

Expected output

Observed UX friction and hypotheses.

4

Generate experiment candidates

Ask AI to turn friction evidence into experiment ideas with effort, risk, and expected impact.

Tool used

ChatGPT

Expected output

A ranked experiment backlog.

5

Ship and review

Create implementation issues, define success criteria, and review results next week.

Tool used

Linear

Expected output

Prioritized growth experiments with owners.

Prompt templates

Friction to experiment

Turn this funnel and session evidence into growth experiments. Include hypothesis, change, target segment, expected impact, effort, risk, and success metric. Evidence: [paste]

Weekly growth review

Summarize this week's experiment results. Identify what changed, what we learned, what to stop, and what to test next. Results: [paste]

Automation ideas

  • Create a weekly funnel snapshot
  • Send experiment results to a Notion log
  • Open Linear issues for approved experiments

Common mistakes

  • Looking at too many metrics at once
  • Jumping from analytics to redesign without watching real sessions
  • Not defining success before shipping

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