> ## Documentation Index
> Fetch the complete documentation index at: https://docs.interhuman.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Conversation quality

> How Interhuman quantifies behavioral interaction quality using CQI, dimension scores, and event metrics.

# 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 automatically detected social signals (e.g., engagement, stress, disagreement).

## What conversation quality is (and isn’t)

### 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.

### 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.

## Inputs

Conversation quality is computed from Interhuman’s detected behavioral outputs:

* `engagement_state`: the person’s attention level to the interaction at a given moment, expressed as engagement, disengagement, or neutral
* `signals`: specific social behaviors detected in the interaction, such as hesitation, agreement, confusion, etc.

See: [Social signals](/explanations/social-signals)

## 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

## 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.

### Qualitative interpretation bands

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

## 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.

### 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