Improving Instagram Direct Messages for a Chosen User Segment: Product Design Case

Quick Overview

A product design question that asks how a PM would redesign Instagram's direct messages. It tests choosing a goal and one user segment among friends, creators and businesses, ranking that group's pain points, prioritizing solutions into releases, and defining success metrics and guardrails.

Improving Instagram Direct Messages for a Chosen User Segment: Product Design Case

Company: DoorDash

Role: Product Manager

Category: Product Design & Strategy

Difficulty: medium

Interview Round: Other

You are the PM for direct messages (DMs) on Instagram. How would you redesign the feature? ```hint Pick whose inbox is failing People use DMs for very different jobs: chatting and sharing posts with friends, creators fielding messages from fans and brands, and customers contacting businesses. Decide which group the current experience serves worst before you propose anything. ``` ### Clarifying Questions - Is a specific problem driving the redesign, such as declining messaging activity or rising spam complaints, or is this an open-ended improvement exercise? - Which conversations are in scope: chats between friends, messages that creators receive from fans and brands, or customers messaging businesses? - Which goal matters most: more conversations and sharing, retention, safety, or value for creators and businesses? - Are we limited to the Instagram app, or can the redesign involve Meta's other messaging products? ### What a Strong Answer Covers - A goal for the redesign tied to the role DMs play on Instagram, such as private sharing, staying in touch and creator or business conversations - A deliberate choice of one user segment, with reasons, among the groups that rely on DMs - Specific pain points for that segment, ranked by how often they occur and how much they hurt - Solutions that address those pain points, prioritized into a first release and later phases - Success metrics and guardrails, plus risks such as misclassified messages, scams, teen safety and privacy ### Follow-up Questions - If your design sorts or labels incoming messages automatically, how do you limit the damage when a genuine message is misfiled? - How would you run an experiment when the effect of a change depends on both the sender and the recipient of a message? - How would your design change if leadership asked you to prioritize teen safety instead?

Overview: A product design question that asks how a PM would redesign Instagram's direct messages. It tests choosing a goal and one user segment among friends, creators and businesses, ranking that group's pain points, prioritizing solutions into releases, and defining success metrics and guardrails.

DoorDash logo
DoorDash
Mar 23, 2026
mediumProduct ManagerOtherProduct Design & Strategy
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You are the PM for direct messages (DMs) on Instagram. How would you redesign the feature?

Clarifying Questions Guidance

  • Is a specific problem driving the redesign, such as declining messaging activity or rising spam complaints, or is this an open-ended improvement exercise?
  • Which conversations are in scope: chats between friends, messages that creators receive from fans and brands, or customers messaging businesses?
  • Which goal matters most: more conversations and sharing, retention, safety, or value for creators and businesses?
  • Are we limited to the Instagram app, or can the redesign involve Meta's other messaging products?

What a Strong Answer Covers Guidance

  • A goal for the redesign tied to the role DMs play on Instagram, such as private sharing, staying in touch and creator or business conversations
  • A deliberate choice of one user segment, with reasons, among the groups that rely on DMs
  • Specific pain points for that segment, ranked by how often they occur and how much they hurt
  • Solutions that address those pain points, prioritized into a first release and later phases
  • Success metrics and guardrails, plus risks such as misclassified messages, scams, teen safety and privacy

Follow-up Questions Guidance

  • If your design sorts or labels incoming messages automatically, how do you limit the damage when a genuine message is misfiled?
  • How would you run an experiment when the effect of a change depends on both the sender and the recipient of a message?
  • How would your design change if leadership asked you to prioritize teen safety instead?