Use case 01
Use it when you want to begin funnel analysis work without writing the first draft from scratch.
Product AnalystFunnel AnalysisBeginnerSingle prompt
Conversion Funnel Audit AI Prompt
Audit the conversion funnel for {{product_flow}} and identify the highest-impact drop-off points. Funnel stages provided: {{stages_and_counts}} 1. Compute conversion rates: - St... Copy this prompt template, run it in your AI tool, and use related prompts to continue the workflow.
Prompt text
Audit the conversion funnel for {{product_flow}} and identify the highest-impact drop-off points.
Funnel stages provided: {{stages_and_counts}}
1. Compute conversion rates:
- Step-by-step conversion rate: users_at_step_N / users_at_step_N-1
- Cumulative conversion rate: users_at_each_step / users_at_top_of_funnel
- Overall funnel conversion: bottom_of_funnel / top_of_funnel
2. Identify the biggest drop-offs:
- Rank steps by absolute user loss (not just % drop)
- Rank steps by % conversion rate (lowest = most leaky)
- Flag any step with conversion rate below {{threshold}}%
3. Benchmark against industry standards:
- What is a typical conversion rate for each step in {{industry}}?
- Which steps are performing below benchmark?
4. Segment the funnel:
- Break conversion rates by: new vs returning users, device (mobile/desktop), traffic source, user cohort
- Which segments have the lowest conversion at the biggest drop-off step?
- Are any segments converting exceptionally well? (Best practice to replicate)
5. Qualitative context:
- For the top 2 drop-off steps: list 3 possible reasons users are leaving
- What data would confirm or rule out each reason?
6. Prioritized recommendations:
- Top 3 interventions ranked by expected impact on overall funnel conversion
- For each: hypothesis, test design, and expected lift
Return: funnel table with conversion rates, drop-off ranking, segment breakdown, and prioritized recommendations.When to use this prompt
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 Funnel Analysis 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 Compute conversion rates:, Step-by-step conversion rate: users_at_step_N / users_at_step_N-1, Cumulative conversion rate: users_at_each_step / users_at_top_of_funnel. The final answer should stay clear, actionable, and easy to review inside a funnel analysis 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 Funnel Analysis.
Frequently asked questions
What does the Conversion Funnel Audit prompt do?+
It gives you a structured funnel analysis 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 beginner, so it works well as a guided starting point for that level of experience.
What type of prompt is this?+
Conversion Funnel Audit 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 Funnel Segmentation Deep Dive, Multi-Touch Attribution for Product.