What metrics would you use to evaluate a new WhatsApp feature for advertisers
- Metrics
- Meta
- Hard
- 15 min
Problem Statement Description
Product context: Meta is a social technology company; its products include Facebook, Instagram, WhatsApp, Messenger, Threads, Quest, creator tools, and ads. WhatsApp is Meta's messaging platform; its products include private chats, groups, calls, communities, channels, business messaging, payments in some markets, and status updates.
Meta is considering a new WhatsApp feature aimed at advertisers. The feature may help businesses reach, engage, or convert customers through WhatsApp, while still operating within the expectations of a private messaging product where user trust, consent, relevance, and safety are critical.
Your task is to define how you would evaluate whether this advertiser-facing feature is successful. The focus is not on designing the feature itself, but on building a useful metrics framework that could guide launch decisions, diagnose performance, and balance advertiser outcomes with WhatsApp user experience.
You should assume multiple stakeholders: advertisers looking for measurable business results, WhatsApp users who may interact with business messages or ad-driven entry points, Meta teams responsible for monetization and integrity, and product teams responsible for long-term engagement and trust.
The experience should consider:
- What the primary success metric should represent and why it is the right decision-making metric
- How to define the metric precisely, including numerator, denominator, time window, and eligible population
- How advertiser cohorts may differ by size, objective, geography, industry, spend level, or maturity on Meta’s ad tools
- How user cohorts and consent states should affect measurement, especially in a private messaging context
- What instrumentation is required to connect ad exposure, WhatsApp interaction, business response, and downstream outcomes
- What guardrail metrics are needed for user trust, spam, blocking, reporting, opt-outs, latency, and message quality
- How to distinguish feature adoption, advertiser value, user experience, and platform revenue impact
- How the metrics would support launch, iteration, scaling, or rollback decisions
The goal is to demonstrate how you would create a rigorous, privacy-aware measurement approach for a hard-to-measure advertiser product inside WhatsApp, ensuring that growth in advertiser value does not come at the expense of user trust or long-term platform health.
What this question tests
- Metric Definition
- Instrumentation
- Counter-metrics
- Decision Quality
Practise this question under interview conditions. Answer it out loud against a timer with an AI interviewer that asks follow-ups, then review the scored report.
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