What is a funnel analysis and how do you build one?
Assesses fundamental understanding of Data Analysis & BI conventions, runtime behavior, and memory/performance considerations.
Hiring managers look for precision, avoidance of ambiguous jargon, and ability to explain trade-offs under real production conditions.
A funnel measures how many users progress through an ordered sequence of steps, such as view, add to cart, checkout and purchase. The conversion rate at each step shows where users drop off.
WITH steps AS (
SELECT user_id,
MAX(CASE WHEN event = 'view' THEN 1 ELSE 0 END) AS s1,
MAX(CASE WHEN event = 'add_cart' THEN 1 ELSE 0 END) AS s2,
MAX(CASE WHEN event = 'purchase' THEN 1 ELSE 0 END) AS s3
FROM events
GROUP BY user_id
)
SELECT SUM(s1) AS views, SUM(s2) AS carts, SUM(s3) AS purchases
FROM steps;
Key decisions: define the completion window, decide whether steps must occur in order, and choose whether to count sessions or users. Break results down by channel, device or cohort to find the worst segment. Segmenting the funnel usually yields more actionable insight than the overall rate.
Candidate Response Strategy & Interview Tips
- Start with a concise one-sentence summary: Deliver a direct, confident answer first before expanding into nuances.
- Demonstrate real-world trade-offs: Discuss where this approach excels and when you would avoid it in production systems.
- Discuss complexity & edge cases: Proactively explain time/space complexity or boundary conditions (null values, scale limits).
- Prepare for interviewer follow-ups: Technical hiring panels frequently probe deeper into concurrency, backward compatibility, or alternative libraries.