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How Savo Turns Conversations into Insights

From spoken words to scored dimensions — the pipeline that makes signal visible

A Signal Session produces a transcript. That transcript is the raw material — but the insights in your report are the result of a structured scoring process that happens after the conversation ends. Here's how it works.

How the Analysis Works

After a Signal Session completes, Savo automatically analyzes the transcript to surface the insights in your report.

The first step is identifying what's meaningful. Not every statement in a conversation is useful signal — Savo filters the transcript for moments that actually speak to the research topic. The moments that make the cut become Evidence Units: specific, citable excerpts from the conversation. Evidence Units are classified by quality:

  • Story — a rich narrative account that provides full context
  • Example — a concrete specific instance without full narrative
  • Claim — a direct assertion without supporting context

Stronger evidence carries more weight in the scoring.

The second step is scoring. Each dimension in your Signal Event has a rubric that defines what strong, moderate, and weak evidence looks like. Savo evaluates the Evidence Units for each dimension and produces a score on the 1 to 5 scale, along with an evidence label (Strong, Moderate or Limited evidence) reflecting how much of the cohort stands behind it. When evidence is insufficient to score a dimension reliably, the system returns ""No Score"" rather than a low-confidence estimate — a gap in evidence is itself meaningful data.

Where the Results Go

Scored dimensions, evidence labels, and Evidence Units flow into your Insights report. The report organizes findings across four tabs: Summary (the big picture), Analysis (each Dimension in detail, the intersections between them, and what came up on its own), Evidence (the quotes behind every finding) and Methodology (how the report was built). If your campaign included a survey, its results have a tab of their own.

Each finding in your report traces back to specific Evidence Units — and each Evidence Unit traces back to a specific moment in a specific session. Nothing in the report is opaque.

See Confidence Levels and Why they Matter and Exploring the Evidence for more on reading your results.