Extract insights from a multi-entry funnel scorecard

Q: Extract insights from a multi-entry funnel scorecard

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.

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Analytics & Experimentation questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master analytics & experimentation interviews.

Question

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

Share three insights you would report from this scorecard (prioritize by impact, not just rate extremes).
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).

Extract insights from a multi-entry funnel scorecard

Scenario

Task

Notes

Solution

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Extract insights from a multi-entry funnel scorecard

Overview

Scenario

Task

Notes

Solution

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