Relevance AI
Relevance AI
IntercomNotionSlackRippling

Surveys read for what the score hides

An average of 7.8 can hide a team on fire. The Engagement Pulse reads every comment, separates real shifts from noise, and points leadership at the right team without breaking anonymity.

Quarterly pulse closed
Engagement Pulse

Survey is closed. Reading the comments, not just the score.

Collecting survey responses3s
Clustering comment themes9s

The score looks fine at 7.8, but workload comments doubled in one org. That is the story.

Sending the digest to leadership1s
Digest is with leadership. The headline score of 7.8 hides the real story: workload mentions doubled quarter-over-quarter and cluster almost entirely in the platform org, right where attrition ticked up last month. The digest pairs three anonymized quotes with the specific recommendation: review on-call load there first, before the next cycle confirms it the hard way.

How it works

Pulse survey closedQuarterly cycle dueBreakdown requestedAttrition spike detected
Digest sent to leadershipThemes clustered by orgAnonymity cuts enforcedAction item named

Triggered when the survey closes

The pulse closing in your survey tool starts the analysis immediately, no waiting on an analyst’s calendar.

Reads comments, weighs context

The agent clusters every comment, cuts by org and theme, checks shifts against history and org events before calling them trends, and withholds any cut that would identify individuals.

Sends the digest to leadership

A short digest lands in Slack and Notion days after close: the finding, the evidence, and the one place to act first.

Without Relevance

With Relevance

Leadership sees the headline score, nods at 7.8, and the comments go unread.

Every comment is read and clustered, because the story is in the text, not the average.

A company-wide average smooths over the one org where sentiment is actually collapsing.

The agent cuts by org and theme, so workload mentions doubling in one team surfaces as the headline.

Every dip becomes either a panic or a shrug, depending on the room.

Shifts are checked against history and events, like a re-org week, before they are called a trend.

A team-level breakdown of four people gets shared, and everyone knows who said what.

Cuts that would identify individuals are withheld on purpose, and the digest says that is why.

The analysis lands six weeks after the survey closed, when the moment to act has passed.

The digest is with leadership days after close, with the quarter’s comparison already run.

The deck ends with charts, and nothing changes before the next survey asks the same questions.

Each digest names the specific place to act first, with the evidence that points there.

Held to a quality bar, on every run

Every digest is checked against eval test cases written for this exact job before it sends. If a run fails the bar, it never ships.

Engagement Pulse

Pass rate · last 14 days

Sampling 2% of live runs · 93% passing this week

Findings backed by quoted themes96%
Trends checked against org events93%
No cut below the anonymity threshold94%
Every digest names an action91%

Train your agent like an employee

Onboard it with your playbooks and correct it in plain English. It learns the lesson for good, and nothing changes until you approve it.

Engagement Pulse
Instructions updated
Tool added
Comment theme clustering
13 evals added
Findings backed by quoted themesTrends checked against org events+11 more
Publish version 4
PDFEngagement Survey Methodology.pdf240 KB
Analyze every pulse using this methodology.
Read Engagement Survey Methodology.pdf. Updated my instructions, added a comment theme clustering tool, and wrote 12 evals to check every run.
Never report a cut with fewer than five respondents, no matter who asks for it. Anonymity is the product.
Understood. I added an eval that fails any digest containing a breakdown below five respondents, so anonymity holds even when the request comes from the top.
Teach it something new…
Ask

Built for enterprise teams

Run agents on your real data with the access controls, audit trails, and residency guarantees enterprises require all built in.

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KPMG
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."

Levi Watters

Partner, KPMG Australia

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Autodesk
"The key for us was how we can modularize industry knowledge and the best playbooks, and apply it."

Allen Roh

Senior Marketing Manager, Autodesk

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Canva
"We're looking for every place where AI can allow sellers and customer success reps to be more engaged with customers."

Rob Giglio

Chief Customer Officer, Canva

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"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."

Levi Watters

Partner, KPMG Australia

Read more

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Every agent you add shares one stack

These agents all run on one platform: one gateway, one router, one eval suite, one audit trail. Every agent after the first ships faster.

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  • Performance evaluatedlike Braintrust
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  • Coordinated into teamslike CrewAI
  • Chained into multi-step processeslike n8n
  • Kept alive through long-running worklike Temporal
  • Traced at every step of every runlike Langfuse

Put the Engagement Pulse to work this quarter

We partner with enterprise teams to take this work off their plate. An agent built with you, proven against your quality bar, and live in weeks.