Revive declining WhatsApp group chat activity: diagnose the slide and design fixes

Quick Overview

A WhatsApp product sense question about group chats whose engagement is slowly declining. It tests diagnosing where the slide comes from, choosing which groups and members to serve, designing privacy-respecting improvements, and defining success metrics and a sound experiment.

Revive declining WhatsApp group chat activity: diagnose the slide and design fixes

Company: 6Sense

Role: Product Manager

Category: Product Design & Strategy

Difficulty: medium

Interview Round: Other

You are a product manager at WhatsApp. Engagement in WhatsApp group chats has been declining gradually. Explain how you would change the product to bring group engagement back up. ```hint Find where the decline lives first A slow slide across all groups and a slide concentrated in one kind of group call for different fixes. Before proposing features, decide which groups and which members are pulling the number down, and why. ``` ### Clarifying Questions - How is group engagement measured: messages per group, the share of members who post or read each week, the number of groups with any activity, or media shared? - Is the decline global, or concentrated in particular countries, group sizes or group types such as family, friends, communities or work? - Is one-to-one messaging falling too, or only groups? - Did anything change in groups around the time the decline began, such as admin controls over who may post, new community or broadcast features, or notification defaults? ### What a Strong Answer Covers - A quick check that the decline is real and a breakdown of where it comes from, before proposing features. - Segmentation of groups and members (admins, active posters, silent readers) and a reasoned choice of whom to serve. - Pain points tied to that segment, with solutions that respect WhatsApp's end-to-end encryption and simple design. - Prioritization and success metrics with guardrails on spam, notification fatigue, muting and privacy. - An experiment design that accounts for members of the same group influencing each other. ### Follow-up Questions - Your data shows the activity moved from groups into one-to-one chats. Is that a problem worth solving? - Members of the same group could land in different test arms. How would you design the experiment? - End-to-end encryption means servers cannot read message content. How does that shape the features you proposed?

Overview: A WhatsApp product sense question about group chats whose engagement is slowly declining. It tests diagnosing where the slide comes from, choosing which groups and members to serve, designing privacy-respecting improvements, and defining success metrics and a sound experiment.

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6Sense
Oct 22, 2025
mediumProduct ManagerOtherProduct Design & Strategy
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You are a product manager at WhatsApp. Engagement in WhatsApp group chats has been declining gradually. Explain how you would change the product to bring group engagement back up.

Clarifying Questions Guidance

  • How is group engagement measured: messages per group, the share of members who post or read each week, the number of groups with any activity, or media shared?
  • Is the decline global, or concentrated in particular countries, group sizes or group types such as family, friends, communities or work?
  • Is one-to-one messaging falling too, or only groups?
  • Did anything change in groups around the time the decline began, such as admin controls over who may post, new community or broadcast features, or notification defaults?

What a Strong Answer Covers Guidance

  • A quick check that the decline is real and a breakdown of where it comes from, before proposing features.
  • Segmentation of groups and members (admins, active posters, silent readers) and a reasoned choice of whom to serve.
  • Pain points tied to that segment, with solutions that respect WhatsApp's end-to-end encryption and simple design.
  • Prioritization and success metrics with guardrails on spam, notification fatigue, muting and privacy.
  • An experiment design that accounts for members of the same group influencing each other.

Follow-up Questions Guidance

  • Your data shows the activity moved from groups into one-to-one chats. Is that a problem worth solving?
  • Members of the same group could land in different test arms. How would you design the experiment?
  • End-to-end encryption means servers cannot read message content. How does that shape the features you proposed?