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Conversation Quality

Conversation quality is Interhuman’s way of measuring how well an interaction unfolds behaviorally over time — separate from what was discussed or whether a desired outcome was achieved. We compute a Conversation Quality Index plus a set of dimension scores derived from the engagement state and the social signals Interhuman detects (for example, stress and disagreement).

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What conversation quality is (and isn’t)

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What it captures

  • The behavioral quality of an interaction (how it is handled), grounded in observable social signals over time.
  • A diagnostic profile across stable dimensions like clarity, authority, energy, rapport, and learning.

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What it does not capture

  • Whether the conversation “worked” (deal outcomes, persuasion success, interview pass/fail).
  • Whether the right topics were covered (sales-stage or checklist frameworks).
  • A semantic evaluation of the content itself.

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Inputs

Conversation quality is computed from Interhuman’s detected behavioral outputs:
  • Engagement: the person’s attention level to the interaction at a given moment, expressed as engaged, disengaged, or neutral
  • Signals: specific social behaviors detected in the interaction, such as hesitation, agreement, confusion, etc.
See Social signals for where each output appears on each endpoint. With Inter-2 Audio, the inputs are the engagement and the six signal types it hears in the audio, so its scores reflect the conversation as heard. To receive conversation quality, request it with one or both of the conversation_quality_overall and conversation_quality_timeline flags: include[] on POST /v2/upload/analyze, where the completed job’s result.conversation_quality covers the whole file, or include in the session config on WS /v2/stream/analyze, which sends conversation_quality.updated messages as the session progresses.

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Outputs (two-layer structure)

Conversation quality follows a layered structure (diagnostic first, summary second):
  1. Quality Index — a single headline score (0–100)
  2. Dimension scores — 0–100 scores for a small set of stable behavioral dimensions

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Layer 1 — Conversation Quality Index

The Conversation Quality Index is a single summary score answering: “How good was this interaction, behaviorally speaking?”
  • Range: 0–100
  • The Conversation Quality Index is always shown alongside the underlying dimension scores
  • The Conversation Quality Index is computed as the arithmetic mean of the five dimension scores.

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Qualitative interpretation bands

  • 0–30: Weak
  • 30–50: Below average
  • 50–65: Moderate
  • 65–80: Good
  • 80–100: Excellent

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Layer 2 — Dimension scores

A dimension score shows how strongly a conversation expressed a given quality overall, based on the balance of helpful versus harmful behavioral signals.

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Core dimensions

  • Clarity / Structure — how easy it is to follow the message (order, concision, clarity)
  • Authority / Credibility — decisiveness and credibility (certainty vs. hedging/hesitation)
  • Energy / Presence — vitality, responsiveness, participatory energy
  • Rapport / Relational Safety — warmth, respect, trust, emotional safety
  • Learning / Exploration — curiosity, reflection, experimentation, openness to learning