Evaluating the Facebook ‘Memory’ feature

Q: Evaluating the Facebook ‘Memory’ feature

Evaluates Facebook Memories feature performance beyond click-through rate and surface-level engagement. Strong answers measure incremental engagement, retention, cannibalization, quality guardrails, frequency caps, sensitive-content handling, and launch criteria.

Q: How do I approach Analytics & Experimentation interview questions?

Analytics & Experimentation questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master analytics & experimentation interviews.

Q: What difficulty level is this interview question?

This is a medium difficulty Analytics & Experimentation question, commonly asked during Technical Screen rounds at Meta.

Q: What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Meta during technical interviews.

Question

Evaluating the Facebook Memories Feature

You are asked to assess whether the Memories feature, which resurfaces users' past posts, delivers real user value without simply reshuffling attention from other content.

Design an evaluation plan, set acceptable CTR expectations, choose impact metrics, and avoid over-resurfacing the same content.

Constraints & Assumptions

Measure incremental value, not only clicks on Memories.
Include cannibalization and safety or emotional-harm guardrails.
Evaluate frequency and resurfacing policy.
Consider user intent and nostalgia value.

Clarifying Questions to Ask Guidance

Where are Memories surfaced: feed, notifications, stories, or dedicated tab?
What content types are eligible and what content is excluded?
What is the target user action: click, share, comment, save, or reconnect?
Are there controls for sensitive memories?

Part 1 - Evaluation Framework

How would you evaluate Memories performance?

What This Part Should Cover Guidance

Use user-level experiments or holdouts.
Track CTR, share rate, comments, meaningful interactions, retention, notification opt-outs, hides, reports, and user sentiment.
Measure cannibalization of feed, profile, and other surfaces.
Segment by user tenure, posting history, content type, and prior engagement.

Part 2 - CTR and Time Spent

Is a 20% CTR acceptable, and is total time spent a good metric?

What This Part Should Cover Guidance

Benchmark CTR against surface, intent, volume, and comparable modules.
Avoid judging CTR without impression quality and user value.
Treat time spent as ambiguous and supplement with quality, retention, survey, and action metrics.
Include confidence intervals and practical significance.

Part 3 - Frequency and Guardrails

How would you avoid over-resurfacing and protect quality?

What This Part Should Cover Guidance

Use frequency caps, recency rules, content-quality filters, sensitive-content exclusions, and user controls.
Monitor hides, negative feedback, opt-outs, and emotional-harm reports.
Test personalization of timing and content type.

Follow-up Questions Guidance

What if Memories increases shares but decreases feed engagement?
How would you handle bad or sensitive memories?
How would you estimate incremental retention from Memories?

Evaluating the Facebook ‘Memory’ feature

Quick Overview

Evaluating the Facebook ‘Memory’ feature

Evaluating the Facebook Memories Feature

Constraints & Assumptions

Clarifying Questions to Ask Guidance

Part 1 - Evaluation Framework

What This Part Should Cover Guidance

Part 2 - CTR and Time Spent

What This Part Should Cover Guidance

Part 3 - Frequency and Guardrails

What This Part Should Cover Guidance

Follow-up Questions Guidance

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