Instacart: Find and Fix the Most Damaging Customer Problem After Checkout

You are a product manager at Instacart, where customers order groceries from local stores and a shopper picks the items and brings them to the customer. Consider everything that happens after a customer has successfully placed an order, up to the point where they have their groceries and any problem has been sorted out. Identify which experience in that stretch is the worst for customers, explain why you chose it, and describe how you would improve it. ```hint Define "worst" before you pick List what can go wrong at each stage after checkout, from the shopper walking the aisles to the doorstep to unpacking the bags. Then decide what makes one problem worse than another: how often it happens, how much it hurts, and whether the customer can still recover from it. ``` ### Clarifying Questions - Should "worst" mean the most frequent complaint, the problem that most often stops customers from ordering again, or the one that costs the most in refunds and support contacts? - Are pickup orders in scope, or only orders delivered to the customer's door? - Can the solution change the shopper's app and how retailers share inventory data, or only the customer's app? - Is there data on refunds, support contacts and low ratings broken down by issue type, or should the choice rest on reasoning alone? ### What a Strong Answer Covers - A walk through the post-checkout journey (in-store shopping, replacements, delivery handoff, unpacking, getting help) with the failure points at each stage. - An explicit definition of "worst", a justified choice of one problem, and the data that would confirm or overturn that choice. - A focus segment within the chosen problem and solutions that address its root cause before the order reaches the door, using the shopper and retailer sides of the marketplace rather than only refunds after the fact. - Prioritization with trade-offs such as customer effort, shopper time and basket size. - Success metrics tied to the chosen problem, a link to repeat ordering, and guardrails. ### Follow-up Questions - Your fix adds time to every shopper's trip through the store. How do you decide whether it is worth it? - How would you tell whether the problem comes mainly from particular stores, particular shoppers or inaccurate inventory data, and how would that change the fix? - The problem affects only some orders. How would you show that fixing it raises repeat orders?