Product AnalystUser SegmentationIntermediateSingle prompt

Power User Analysis AI Prompt

Identify and analyze the power users of this product to understand what drives exceptional engagement. Engagement data: {{engagement_data}} Power user definition: {{definition}}... Copy this prompt template, run it in your AI tool, and use related prompts to continue the workflow.

Prompt text
Identify and analyze the power users of this product to understand what drives exceptional engagement.

Engagement data: {{engagement_data}}
Power user definition: {{definition}} (top 10% by usage frequency, or specific behavior threshold)

1. Power user identification:
   - Define power users quantitatively: users who {{criterion}} in the last 30 days
   - What % of total users are power users?
   - What % of total activity or revenue do power users account for? (Often 80% of value from 20% of users)

2. Power user profile:
   - Demographics: tenure, acquisition channel, plan type, company size (if B2B)
   - Behavioral fingerprint: which features do they use most? What is their typical session pattern?
   - Onboarding: did they complete onboarding differently? How quickly did they activate?
   - First week behavior: what did power users do in their first 7 days that non-power users did not?

3. The aha moment:
   - Is there a specific action in the first week that strongly predicts becoming a power user?
   - Compute: % of power users who completed {{action}} in week 1 vs % of all users
   - This is the aha moment candidate - the action to optimize for in onboarding

4. Power user journey:
   - Map the typical sequence of feature adoption for power users
   - At what tenure do most users reach power user status?
   - Is there a specific feature or workflow that accelerates the journey?

5. Implications for product and growth:
   - How can onboarding be redesigned to guide more users toward the power user path?
   - Which acquisition channels produce the most power users? (Not just the most users)
   - What does retaining power users require? (Are they at risk of churning for any reason?)

Return: power user definition and sizing, behavioral profile, aha moment analysis, journey map, and product/growth implications.

When to use this prompt

Use case 01

Use it when you want to begin user segmentation work without writing the first draft from scratch.

Use case 02

Use it when you want a more consistent structure for AI output across projects or datasets.

Use case 03

Use it when you want prompt-driven work to turn into a reusable notebook or repeatable workflow later.

Use case 04

Use it when you want a clear next step into adjacent prompts in User Segmentation or the wider Product Analyst library.

What the AI should return

The AI should return a structured result that covers the main requested outputs, such as Power user identification:, Define power users quantitatively: users who {{criterion}} in the last 30 days, What % of total users are power users?. The final answer should stay clear, actionable, and easy to review inside a user segmentation workflow for product analyst work.

How to use this prompt

1

Open your data context

Load your dataset, notebook, or working environment so the AI can operate on the actual project context.

2

Copy the prompt text

Use the copy button above and paste the prompt into the AI assistant or prompt input area.

3

Review the output critically

Check whether the result matches your data, assumptions, and desired format before moving on.

4

Chain into the next prompt

Once you have the first result, continue deeper with related prompts in User Segmentation.

Frequently asked questions

What does the Power User Analysis prompt do?+

It gives you a structured user segmentation starting point for product analyst work and helps you move faster without starting from a blank page.

Who is this prompt for?+

It is designed for product analyst workflows and marked as intermediate, so it works well as a guided starting point for that level of experience.

What type of prompt is this?+

Power User Analysis is a single prompt. You can copy it as-is, adapt it, or use it as one step inside a larger workflow.

Can I use this outside MLJAR Studio?+

Yes. The prompt text works in other AI tools too, but MLJAR Studio is the best fit when you want local execution, visible Python code, and reusable notebooks.

What should I open next?+

Natural next steps from here are Behavioral User Segmentation.