Structured data has row-first analytics tools. Poth makes transcripts, tickets, and reviews queryable without flattening away their source evidence.
Connect your data freeSurvey scores get dashboards because they are numbers. Calls, tickets, and reviews often hold the reasons, but row-first tools do not make them easy to query. The fallback is a manual project: someone re-reads, someone summarizes, nobody can check the summary.
Stalled accounts by primary blocker n = 12
Evidence used in this illustrative analysis · 4 cited sources
The dashboard is built for the question asked, with cited evidence available for the analysis behind it.
Poth validates citation markers against the retrieved evidence made available to an answer and displays the cited sources alongside it.
Citations are more useful than a summary alone: the source card shows the supporting excerpt and where it came from so a reader can review it.
Retrieval context and cited evidence make the answer's support more visible, while gaps or contradictions remain a reason to investigate.
An internal build has to combine ingestion, identity resolution, retrieval, evidence checks, permissions, and an analysis surface.
Poth packages those parts into one workflow and connects to supported sources rather than replacing the systems of record.
Imports remain bounded by the accounts, scopes, and settings you authorize.
Ad hoc analysis can change its categories between runs unless the workflow supplies and preserves a shared taxonomy.
Poth can preserve shared categories with persistent claims, so a trend question uses an inspectable definition across runs.
Connect a supported source or import bounded files. Access follows the account, scope, and settings you authorize.
Imported calls, tickets, and rows get mapped to the customer they belong to.
Answers come back cited, so you can check them.
