Funnel diagnostics · Data Analyst
Funnel Metric Structure
Map entry/exit metrics, conversion rates, and underperformance causes across top, middle, and bottom of funnel — grounded in current vs. historical data.
Role
Data Analyst.
Context
As an organization, we want to understand each funnel's influence on the experience — where different stages impact those surrounding them, the strengths, and the opportunities.
- Top of Funnel — entry (acquisition)
- Middle of Funnel — options / picking (selection)
- Bottom of Funnel — checkout (conversion)
Task
Build a full metric mapping for each stage of the funnel, defining entry and exit metrics, conversion rates between them, and primary reasons when different stages underperform. Identify metrics for each stage that surface opportunities to improve.
Constraints
Only look at our current data in comparison to past metrics. Do not project trends or look at competitors in the market.
Inputs
Current and historical data will be used for analysis.
Output Format
Depict entry and exit numbers to identify funnel conversion success rates with identified potential causes. Use a combination of:
- A funnel depiction
- Heat maps
- Highlighting of contributing factors
Quality Checks
- Critique the response, flag uncertainty, list assumptions
- Build self-review into the prompt