Extract insights from a multi-entry funnel scorecard
Company: Intuit
Role: Product Analyst
Category: Analytics & Experimentation
Difficulty: easy
Interview Round: Onsite
## Scenario
You are given a scorecard for a QuickBooks-like product showing a funnel by **access point** (15+ entry points, highly skewed traffic).
For each `access_point`, you have:
- `visits`
- `application_start`
- `application_complete`
- `paid` (or `subscribe`)
- Potentially other step-level counts/rates (7–8 columns total)
Assume the funnel is:
**Visit → Application Start → Application Complete → Paid**.
## Task
1. Share **three insights** you would report from this scorecard (prioritize by impact, not just rate extremes).
2. Recommend **next steps** (product, experimentation, or data work) based on those insights.
## Notes
- Many access points have tiny traffic; explain how you handle the long tail (e.g., 80/20).
Quick Answer: This question evaluates a candidate's ability to analyze multistep funnel metrics, handle highly skewed traffic across many access points, and prioritize insights from sparse or long-tail data, testing competencies in product analytics and measurement.