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The Engagement tab is available on Starter plans and above.
The Engagement tab helps you understand the human side of your pulses — who’s reading them, how they’re reacting, and when engagement peaks.

Engagement Trend

A dual-axis chart tracking engagement over time:
  • Reaction count (solid line) — the raw number of reactions per day
  • Engagement rate (dashed line) — the percentage of delivered pulses that received reactions that day
What to look for:
  • An upward trend in either line means your pulses are resonating more over time.
  • Spikes often correlate with significant data changes — when a metric moves, people react.
  • If reaction count grows but rate stays flat, you’re sending more pulses (volume effect).
  • If rate grows but count stays flat, fewer pulses are generating more engagement (quality effect — the better signal).

Reaction Breakdown

A donut chart showing the distribution of reaction types across your pulses. Reactions include:
  • Emoji reactions — Slack emoji reactions (including custom workspace emojis)
  • Thumbs — Thumbs up / thumbs down
  • Comments — Text responses on the pulse
The top 8 reaction types are shown individually, with the rest grouped as “Other.” What to look for:
  • Variety suggests genuine engagement rather than habitual clicking.
  • Consistent thumbs-down on certain connections may mean the content needs refinement.
  • Comments are the highest-signal engagement — someone took time to respond with words.

Top Engagers

A leaderboard of the people who interact most with your pulses. For each person:
  • Reactions — total in the period
  • Questions asked — thread conversations they started
  • Last active — when they last engaged
Starter plans show the top 3. Pro plans show the full top 10.
What to look for:
  • If engagement is concentrated in one or two people, consider whether the right audience is seeing your pulses.
  • People who ask questions are your most engaged users — they’re actively using pulses for decisions.
  • If a previously active person drops off, the data may no longer be relevant to them.

Most Engaged Connections

A ranked list of your source-to-destination connections by feedback count, showing which data pipelines generate the most audience interaction. What to look for:
  • High-engagement connections are your most valuable — keep them healthy.
  • Low-engagement connections might be going to the wrong channel, at the wrong time, or with data that doesn’t prompt action.
  • Use this to prioritise which connections to optimise first.

Thread Conversations

A summary of pulse-driven conversations:
MetricMeaning
Total Questions AskedThread conversations started from pulses
AI Response RatePercentage of questions that received an AI response
Avg per PulseAverage thread conversations per pulse (among those with threads)
Pulse → Thread ConversionPercentage of delivered pulses that generated at least one thread
What to look for:
  • Thread conversion shows how often your pulses provoke questions — higher means thought-provoking data.
  • AI response rate should be high. If it’s dropping, something may need attention.
  • Growing questions over time means your team is building a habit of interrogating their data.

Best Time to Send

A heatmap grid showing engagement rates by day of week and hour of day.
  • X-axis: Hours from 6am to 10pm
  • Y-axis: Days of the week
  • Cell colour: Darker = higher engagement rate at that time
Hover over any cell to see the exact engagement rate and sample size. What to look for:
  • Darker cells are your peak engagement windows — schedule your most important pulses there.
  • Low sample sizes (few pulses sent at that time) mean the data isn’t yet reliable for that cell.
  • Patterns often emerge around team routines: morning standups, post-lunch reviews, end-of-week check-ins.
The heatmap becomes more useful as your pulse history grows. If most cells are empty, give it time.

Next Steps

Delivery & Volume

Check your delivery fundamentals.

Stats Overview

Review the four key metrics.