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Customer Language Demand Research

Find repeatable demand patterns in real customer language

Extract stable actions, outcomes, and variable slots from queries, interviews, tickets, reviews, or community discussions without inventing user wording.

What the Agent prepares

  • Stable language structures and named variable slots
  • Original examples, source coverage, intent, and confidence
  • Unresolved patterns and a do-not-expand list

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Turn uncertain signals into a reviewable decision

Extract stable actions, outcomes, and variable slots from queries, interviews, tickets, reviews, or community discussions without inventing user wording.

The Agent separates supplied facts, calculations, inferences, missing evidence, and unknowns so the next action is traceable instead of overconfident.

Use it for

Query pattern discovery

Find repeated task structures across a large set of real phrases.

Customer-language taxonomy

Organize actions, objects, outcomes, roles, and constraints.

Expansion quality control

Block patterns with conflicting intent or weak source coverage.

Example task

Find query templates in these support tickets

What the Agent prepares

  • Stable language structures and named variable slots
  • Original examples, source coverage, intent, and confidence
  • Unresolved patterns and a do-not-expand list

How it works

01

Clean the samples

Remove duplicates and synthetic wording while preserving context.

02

Extract structures

Align repeated tasks into fixed components and variable slots.

03

Validate intent

Check source coverage and downstream behavior before approval.

Evidence-led analysis with explicit limits

  • The Agent does not retrieve current market data unless a verified data tool is connected.
  • It does not invent missing figures, sources, causal claims, customer behavior, or commercial results.
  • A human reviews the evidence, thresholds, legal or compliance implications, and final business decision.

Frequently asked questions

What should I provide?

Share the decision, scope, time window, raw evidence, metric definitions, constraints, and any known gaps.

Can I use exported research data?

Yes. Include the source type, date, filters, units, and collection method so the data can be compared correctly.

Will it make the final decision for me?

It prepares an evidence-backed recommendation and exposes missing or unknown inputs; you approve the final commitment.

Ready to put this Agent to work?

Choose an example or describe your own task to get a structured result.

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Failed or incomplete first runs are refunded