Consent-based customer vocabulary library

For product marketing teams in specialist markets, turn consented interviews and approved support excerpts into customer language evidence guide. Address this specific problem: campaign language misses how customers describe their problems. The aim: a permissioned language library tied to real customer tasks. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.

The buyer creates a project, supplies consented interviews and approved support excerpts, and confirms scope and access. Users correct extracted facts, resolve flagged uncertainties and approve the final customer language evidence guide before use. Retain source links and a version history for the next cycle.

How the AI works

Cluster phrases while preserving original meaning. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.

Safeguards

Verify product claims and permissions. Distinguish observed campaign results from causal explanations and keep customer data collection authorized. Qualitative sample; no claims of market representativeness. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.

What to build first

Costed pilot: Qualitative sample; no claims of market representativeness. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: extract customer phrases; preserve quote context. Support the third task through an assisted review queue: group task language. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of customer language evidence guide. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.

What it can connect to

Approved brand material, campaign exports and authorized customer research. Permitted research libraries, interview recording imports, citation exports and document editors. Preserve original source metadata throughout the workflow. Begin with uploads and exports of consented interviews and approved support excerpts. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

The screens in detail

Organize work by research question. Show a source library, an evidence matrix and a draft findings panel with linked quotations. Keep contradictory findings and unanswered questions visible. Allow reviewers to inspect the original context before accepting an interpretation. Open with quote collection; move into language themes for the detailed task; finish in messaging tests for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.