A feature improves group order completion rate but worsens late delivery complaints. What do you do?

Problem Statement Description

Swiggy has recently launched or modified a group-ordering feature for office lunch coordinators. The feature is succeeding on one important funnel metric: more group orders are being completed. However, after launch, late delivery complaints for these orders have increased, creating a tension between conversion, operational reliability, customer trust, and repeat usage.

Assume the feature is used in urban office lunch contexts where one coordinator invites multiple colleagues, collects individual food choices, confirms the order, and expects delivery within a predictable lunch window. Delays may be influenced by restaurant preparation time, order size, item complexity, delivery partner assignment, batching, payment coordination, or expectation-setting in the app.

This is an execution problem. You are not being asked to redesign the full product upfront; instead, focus on how you would diagnose the issue, decide whether to continue, modify, pause, or roll back the feature, and run the operating process needed to protect both business growth and customer experience.

The experience should consider:

- How you would frame the trade-off between higher group order completion and increased late delivery complaints.

- What data, segments, and operational signals you would examine before deciding on action.

- Which teams and owners need to be involved across product, engineering, analytics, operations, restaurant partnerships, delivery, support, and communications.

- How you would sequence immediate mitigation, deeper investigation, and longer-term fixes.

- What go/no-go or rollback criteria you would define for the feature.

- How you would manage risks for office lunch coordinators, participating colleagues, restaurants, and delivery partners.

- How you would communicate decisions internally and, where needed, to affected users.

- How you would ensure the launch learns from the issue and prevents similar metric trade-offs in future releases.

Your goal is to describe a clear execution plan for handling the metric conflict responsibly: preserve the upside in group order completion where possible, reduce late delivery complaints, and make a structured decision that supports repeat group orders and long-term trust in Swiggy’s lunch ordering experience.