A single-file analytics dashboard for Slack workspace data. Drop in your Slack analytics CSV export and instantly get charts, health scores, and behavioural insights — no server, no install, no data ever leaves your browser.
Slack's built-in analytics pages are useful but limited — you see one metric at a time with no cross-analysis. Slack Pulse loads your exported CSV and renders a full dashboard across four tabs:
| Tab | What's in it |
|---|---|
| Overview | KPI cards, message activity, message mix by channel type, membership growth, public channel count, openness trend |
| Behavior | Active vs posting people, lurker ratio, poster rate, message density, voice concentration, views vs messages |
| Health | Five health scores (Stickiness, Openness, Participation, Activation, Growth), MAP vs membership gap, ghost member count, WAU/MAP stickiness trend, activation rate |
| Rhythms | Activity heatmap (GitHub-style), avg messages and active people by day of week, avg activity by day of month |
In Slack, go to your workspace menu → Tools & settings → Analytics → Export. Choose a date range (up to 12 months recommended) and download the CSV.
You need Slack Pro, Business+, or Enterprise to access analytics exports.
Download slack_pulse.html and open it in any modern browser. No internet connection required after that.
Drag and drop the CSV file onto the upload area, or click to browse. The dashboard renders immediately.
| Metric | Definition |
|---|---|
| Avg daily active people | Mean of the Daily active people column across all days in the export |
| Avg lurker ratio | Average share of daily active people who read but do not post |
| WAU/MAP stickiness | Weekly active users divided by monthly active people — how habitual usage is (0 = drifting, 1 = sticky) |
| Msgs / active / day | Average messages sent per active person per day — signal density |
| % public messages | Share of messages sent in public channels vs private/DMs |
| Score | How it's calculated |
|---|---|
| Stickiness | Average WAU÷MAP ratio × 100 |
| Openness | Average % of messages sent in public channels |
| Participation | Average % of active people who post (inverse of lurker ratio) |
| Activation | Rolling 28-day active people as a % of total members |
| Growth | Average month-over-month membership growth rate, where 5% per month = score 100 |
- Active vs posting people — daily active people vs daily people posting; the gap is your lurker pool
- Lurker ratio — the share of active people who only read, not write; lower is more participatory
- Poster rate % — % of active people who post at least one message per day
- Message density — messages per active person per day; tracks whether conversations are getting richer or thinner
- Voice concentration — messages per poster; high values mean a small group is doing most of the talking
- Views vs messages (public / DMs) — reading vs writing behaviour by channel type
Most charts can be switched between daily, weekly, and monthly views using the buttons above each chart. Weekly and monthly views show averages normalised per day so they're comparable across periods.
- Nothing is uploaded. The CSV is read entirely in your browser using the
FileReaderAPI. It is never sent anywhere. - No account required. Open the file and use it.
- Rows with fewer than 5 total enabled members are excluded from all calculations to avoid misleading metrics during early workspace ramp-up. The date badge shows how many days were excluded and why.
Slack Pulse expects the standard CSV produced by Slack's Analytics export. Required columns include:
DateDaily active people,Weekly active people,Monthly active peopleDaily people posting messagesMessages in public channels,Messages in private channels,Messages in DMs,Messages in shared channelsPublic channels,Total Enabled MembershipPercent of views, public channels,Percent of messages, public channels
If your export is missing columns, some charts will show no data but the rest of the dashboard will still render.
Any modern browser works: Chrome, Firefox, Safari, Edge. The file uses ES2020 features (async/await, optional chaining, Intl) and Chart.js loaded from a CDN, so an internet connection is needed on first load if you want charts to render — after that the CSV processing is fully offline.
- Date range: Slack exports up to 12 months of daily data. For longer periods you can load multiple exports sequentially — each load replaces the previous data.
- Message counts: The four channel-type message columns (
public,private,DMs,shared) count human messages only and exclude app/bot traffic. TheMessages postedcolumn in the raw CSV is a cumulative lifetime total and is not used directly. - Stickiness: Days where weekly active people equal monthly active people (often early in a workspace's life) correctly register as stickiness = 1.0.
MIT — do whatever you like with it.