Metrics question

How would you increase customer lifetime value for Swiggy?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Understanding of lifetime value drivers in a food delivery marketplace and how to move them with product changes.

Break CLV into its drivers: order frequency, average order value, and customer lifespan before churning.
Identify the biggest lever for a food delivery app, likely order frequency, since AOV and lifespan are harder to move quickly.
Propose increasing frequency through personalized recommendations and habit forming triggers like weekly reorder prompts.
Propose increasing AOV through smart upsells at checkout, such as add a drink or dessert suggestions.
Propose extending lifespan through a loyalty program with tiered benefits for repeat customers.
Define success as a blended CLV metric tracked over a rolling 6 month cohort, with frequency as the primary driver watched.

Explicitly decomposes CLV into frequency, AOV, and lifespan rather than proposing generic 'engagement' ideas.
Prioritizes frequency as the fastest lever, with a clear rationale that reorder habits compound value quickly.
Gives an illustrative number, e.g. assumes moving average orders per month from 4 to 5 lifts CLV by 20 percent.
Proposes a loyalty program with concrete tiers rather than a vague 'reward loyal customers' statement.

Treating CLV as one undifferentiated number instead of breaking it into frequency, AOV, and lifespan.
Proposing only discounts, which can increase frequency short term but erode margin and long term value.
No cohort based way to measure whether CLV actually improved over time.

Chapters of the AI PM course that teach what this question tests.