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Slack Emoji Reaction Usage Spike Analysis

Root Cause Analysis · intermediate

Slack observed a sudden 200% spike in emoji reactions usage across teams. How would you diagnose this increase?

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Community approaches

Yuvraj’s approach

Observed metric change: Emoji reactions usage- total no of reactions added to messages.

Key segments to inspect: Is this across all teams globally or region specific or platform specific.

  • platform: web, ios, android -region: usa, asia, eu team size- small vs enterprise Message type: channel messages, Dms, threads Time of day: Peak vs off hours

Possible causes:

  1. product changes: new emojis, UI changes, etc
  2. external events: any sports event, political event, insta trend that drives reaction heavy communication
  3. user behaviour: users adopting to reacting with an emoji like thumbs up, ok, thanks, take care, +1 etc to acknowledge instead of replying with text.
  4. Analytics error: wrong or inaccurate or duplicte logging of emoji reactions
  5. Integrations: Bots, workflows created are adding these emoiis to go to next step.

Most likely root cause: 1. Recent product changes- emoji packs or new ui of emojis, 2. External events like sports/fifa cup or political event in a region or worldwide

How I would validate it: Segment analysis to compare spikes across platforms, regions nd team sizes Release correlation: chekc if spike was due to any recent product release that had new ui or new emoji packs. Event correlation: check for events happeninh worldwide, cups, olympics, etc Log audit: check if logs are showing the correct data

Recommended fix: If product driven, there is no harm but we can add guardrails like limit auto reactions, refine UI etc. If event driven no fix needed and treat it as a temporary surge depending on how long the event lasts. If technical bug, fix the issue and get correct numbers that show the true picture.