Relevance AI
Relevance AI
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Customer interviews into themes with quotes

The Interview Synthesizer reads every transcript, clusters what customers actually said into themes with verbatim quotes, and weights each theme by how often it recurs, not how loud it was.

8 interviews · why customers churn
Interview Synthesizer

Eight churn interviews to synthesize. Reading every transcript before I name a single theme.

Reading all 8 interview transcripts11s

Clear recurrence. Three themes come up across most of the interviews.

Clustering quotes under each theme4s

Pulling the strongest verbatim quote for each theme, from different customers.

Writing the themes with evidence2s
Themes delivered. Eight interviews cluster into three themes, the strongest being slow time-to-value, raised by six of eight customers. Each theme carries verbatim quotes from different interviewees, so the room hears the customer directly rather than my paraphrase.

How it works

Interview finished8 calls · churn studyTranscripts dropped“synthesize these calls”
3 themes written upEach theme quote-backedWeighted by frequencyOutliers flagged

Triggered by your call transcripts

Finished interviews or call recordings from Zoom land with the agent automatically. No one has to transcribe or hand them over.

Weights themes by evidence, not volume

It clusters what customers actually said, weights each theme by how many raised it rather than who was loudest, and labels a one-off as an outlier instead of a trend.

Writes the themes up with quotes

The synthesis lands in Notion or Docs: each theme sized by frequency, backed by verbatim quotes, and outliers flagged so the team builds for real patterns.

Without Relevance

With Relevance

A researcher rewatches calls and writes up the themes they remember most.

The agent reads every transcript and clusters what was actually said into themes, each tied to its evidence.

Themes arrive as paraphrase, with the customer’s own words lost.

Every theme carries verbatim quotes, so the customer’s voice reaches the room unfiltered.

The most articulate interviewee ends up shaping the findings.

The agent weights themes by how many customers raised them, not by who said it most forcefully.

The first few interviews set the narrative; later ones get skimmed.

Every interview counts toward the themes with the same attention, first and last alike.

Two researchers synthesize the same calls into different themes.

One method applied to every transcript, so the themes do not depend on who did the read.

A one-off remark gets written up as a trend to fill the deck.

A point raised once is labelled an outlier, not promoted to a pattern.

Held to a quality bar, on every run

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

Interview Synthesizer
92959890

Sampling 2% of live runs · 95% passing this week

Every theme carries verbatim quotes
96%
Themes weighted by frequency, not volume
93%
One-offs are flagged as outliers
87%
No theme is built from a single voice
91%

Shaped by your team, not a template

Experts and engineers tune Interview Synthesizer to your playbooks. Every change ships through the same evals.

Drag and drop

Compose agents and workforces on a visual canvas. Drag in agents, tools, and approvals in a flow anyone on the team can read.

Drag and drop

Compose agents and workforces on a visual canvas. Drag in agents, tools, and approvals in a flow anyone on the team can read.

Build with AI

Describe the agent in plain language and Invent builds it: the prompt, the tools, and the evals to prove it works.

Build with AI

Describe the agent in plain language and Invent builds it: the prompt, the tools, and the evals to prove it works.

Build with MCP

Engineers drive the same platform from Claude Code, Codex, or Cursor. Create agents, link knowledge, and run evals over MCP.

Build with MCP

Engineers drive the same platform from Claude Code, Codex, or Cursor. Create agents, link knowledge, and run evals over MCP.

Built for enterprise teams

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

AICPASOC 2TYPE II
SOC 2
GDPR
GDPR

Security & data privacy

  • Data residency
  • PII masking
  • Audit logs
  • No training on your data

Access & controls

  • Role-based access control
  • SSO / SAML
  • Human-in-the-loop approvals
  • Version control

Monitoring & oversight

  • Real-time monitoring
  • Full agent tracing
  • Cost visibility
  • OTEL & Delta Share export
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

Read more
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

Read more
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

Read more
"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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  • Traced at every step of every runlike Langfuse

Put the Interview Synthesizer 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.