Extract insights from a multi-entry funnel scorecard

Scenario

You receive a scorecard for a QuickBooks-style product that shows a funnel broken down by access point (more than 15 entry points, with very uneven traffic). For each access_point, the data includes:

• visits
• application_start
• application_complete
• paid (or subscribe)
• Possibly additional step-level counts or rates (about 7–8 columns in total) The assumed funnel is: Visit → Application Start → Application Complete → Paid.

Task

1. Provide three insights you would surface from this scorecard, ranked by business impact rather than simply the most extreme conversion rates.
2. Recommend next steps for product, experimentation, or data work based on those insights.

Notes

• Several access points have very little traffic; describe how you would treat the long tail (for example, using an 80/20 approach). Overview: This question tests a candidate's ability to examine multistep funnel metrics, work with heavily skewed traffic across many access points, and prioritize findings from sparse or long-tail data, covering product analytics and measurement skills. See the complete Intuit Product Analyst interview experience this question came from