Pulse AI: Analysis and Followups That Get Smarter Over Time
Pulse analysis takes your current chart, previous analyses, extra context, internal docs, and Slack discussions to deliver insights that improve with every pulse.
Pulse AI: Analysis and Followups That Get Smarter Over Time
Your team sends pulses—charts and data—to Slack on a schedule. What if every pulse could come with AI analysis that actually understands your business, remembers what was said last time, and gets better the more you use it?
That's what Pulse analysis does. It turns each chart into a starting point for insight, not just a picture.
What Pulse Analysis Does
When a pulse runs, the AI doesn't just look at the chart in isolation. It considers:
- The current chart – The numbers, trends, and visuals in this pulse.
- Previous analysis – What the AI said about earlier pulses in this series. It builds on past conclusions instead of repeating them.
- Extra context you provide – You tell it things like: "This is marketing spend," "We have a $50K monthly budget," or "We're focused on CAC this quarter." That context shapes how it interprets the chart.
- Internal documents and calendars – Connected Google Sheets, Docs, or calendars that describe campaigns, plans, or timelines. The AI can reference these so insights align with what's actually happening.
- Slack discussions on previous pulses – Threads and reactions from the last time this chart (or a related one) was shared. The AI incorporates that conversation so followups feel continuous, not generic.
Together, this makes Pulse analysis a strong tool that gets stronger: more context, more history, and more relevant followups over time.
What it looks like in Slack
When a pulse goes out, your channel gets the chart plus an immediate AI summary—so the conversation can start from insight, not from "what are we looking at?"
The analysis can go deeper in the thread: suggested actions and guiding questions so the team knows what to do next.
Why it gets stronger over time
The more pulses you send and the more you use context and Slack, the more tailored and useful the analysis becomes. You're not starting from zero every time.
Why Context and History Matter
Generic chart summaries are easy to generate. "Revenue is up 12%." Useful, but shallow.
When the AI knows this is marketing spend, that you're tracking against a specific budget, and that last week someone in Slack asked "Why did brand drop?" it can say things like: "Spend is on track vs. budget; brand is down again—consistent with the dip you discussed last pulse, possibly timing of the new campaign."
That's the difference between a one-off comment and an analysis that feels like it's part of an ongoing story.
How It Gets Stronger Over Time
| Stage | What the AI uses |
|---|---|
| First pulse | The chart and any context you've added (budget, focus areas, etc.). |
| Second pulse | Comparison to the first pulse and reference to the first analysis. |
| After Slack discussions | Questions or themes from the thread, addressed in the next analysis. |
| With docs and calendars | Chart movements tied to campaigns, launches, or planning docs you've connected. |
Tip: Set context early
When configuring the pulse or the source, add a short description: what the chart is, what matters (e.g. budget, goals), and any caveats. The AI uses this every time.
Using It in Practice
- Set context – Add a short description of what the chart is and what matters (budget, goals, caveats).
- Connect sources – Link the Sheets, Docs, or calendars that define plans, campaigns, or timelines so the AI can reference them.
- Discuss in Slack – Use the pulse thread to ask questions, flag anomalies, or add nuance. The next analysis can build on that.
- Let it run – Over time, history and context accumulate. Analysis and followups become more specific to your team and your data.
A Strong Analysis Tool That Grows With You
Pulse analysis is built to be a durable part of your workflow: same chart, same channel, but with analysis that remembers, uses your context, and improves as you use it. If you're already sending pulses to Slack, turning on AI analysis and adding a bit of context is the fastest way to make each pulse more useful—and to make the next one even better.