What to expect, what they’re really testing, and what a strong answer looks like — scored.
Camera-first experience, Gen Z engagement, AR (augmented reality), and creator tools. Snap PMs must understand the ephemeral content model, think about visual storytelling as the primary communication format, and navigate the competitive dynamic with Instagram and TikTok.
The question below was asked by Snap interviewers. The answer is graded on the five dimensions real PM interviewers use: structure, specificity, reasoning, decision quality, and delivery.
“How would you improve Snapchat for users who don't send many snaps?”
Low snap-sending users are a valuable segment to understand because they represent people who open the app (they're retained) but don't communicate with the core mechanic. This suggests Snap is a consumption product for them, not a communication product.
I'd first understand what they ARE doing: are they watching Stories? Browsing Discover? Using the Map? This tells me where their value is before I try to pull them toward snapping.
My hypothesis: low-sending users are primarily passive content consumers who enjoy Snap's Stories and Discover content but don't have a strong social graph on the platform — they followed some celebrities or brands but their actual friends aren't active on Snap. Without active friends, there's no one to snap to.
The intervention that follows directly from this hypothesis: friend activity notifications. When a connection who's been inactive posts a Story or snaps them, surface a prompt: 'Your friend [Name] is on Snap right now — say hi.' This converts passive consumption into active reciprocal communication at the moment when the social graph is warm.
An alternative intervention: reduce the friction of sending the first snap in a conversation. The camera opens to a 10-second video by default; allow low-sending users to send a 'quick snap' — a single still photo with a text overlay — through a shortcut in the chat list. Lower commitment = lower barrier to first send.
Success metric: snap send rate for the low-sender segment (primary). I'd run an A/B test on the friend activity notification and measure 14-day snap frequency lift.
Investigates behavior before proposing, hypothesizes root cause (weak social graph), then proposes interventions that follow from the hypothesis.
Names two specific interventions with different mechanisms; the 'quick snap' friction reduction is concrete.
The social graph diagnosis is non-obvious and defensible; the warm-graph-as-trigger insight is smart.
Presents two interventions without committing to a primary — the answer would be stronger with a clear choice.
Good length; the 'they're retained but not communicating' framing is efficient.
The 'weak social graph' diagnosis is the answer's best insight — it reframes the low-snap-send problem from 'users don't like snapping' to 'users don't have anyone to snap to,' which leads to a much more targeted intervention. The warm-graph notification idea is clever. The weakness is the two-intervention structure without a clear primary recommendation — the interviewer will ask which one to build first.
Commit to one intervention as the priority (the friend activity notification, since it addresses the root cause) and frame the quick-snap friction reduction as a test-and-learn follow-up.
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