Product design question

How would you improve Big Basket's customer experience?

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

Product improvement for an online grocery marketplace: identifying friction specific to grocery shopping, like freshness and substitutions.

Identify the user: time-pressed households doing weekly grocery shopping online, often price and freshness sensitive.
Name pain points specific to grocery: unreliable delivery windows, out-of-stock items substituted poorly, and produce freshness inconsistency.
Propose a solution: a smarter substitution flow where users pre-approve specific alternate items per product, instead of the app choosing at delivery time.
Propose a second improvement: real time delivery slot accuracy with proactive notification if a slot will be missed.
Prioritize substitutions first since poor substitutions are a top driver of repeat-order dissatisfaction in grocery e-commerce.
Define success as reduction in substitution-related complaints and increase in repeat weekly order rate.

Targets grocery-specific pain points, substitutions and freshness, instead of generic e-commerce complaints like checkout speed.
Proposes a concrete mechanism, user pre-approved substitution preferences, rather than a vague 'improve substitutions' statement.
Picks repeat weekly order rate as the success metric, which reflects grocery's habitual purchase pattern better than one-time conversion.

Proposing generic e-commerce fixes that ignore what makes grocery shopping different (perishables, substitutions).
Ignoring delivery reliability, which is often the top complaint in grocery apps.

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