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

# Quality Evaluation

> How interview quality is automatically evaluated across three tiers and what it means for your insights.

Not all interviews provide equal value. The system automatically evaluates each interview into one of three quality tiers: **High signal**, **Successful**, or **Poor quality**.

## Quality Tiers

| Tier             | Badge        | Default Visibility | Included in Insights |
| ---------------- | ------------ | ------------------ | -------------------- |
| **High signal**  | Yellow star  | Shown              | Yes                  |
| **Successful**   | None         | Shown              | Yes                  |
| **Poor quality** | Orange badge | Hidden             | No                   |

### High Signal

Interviews marked as high signal contain particularly insightful feedback. These are highlighted with a yellow star badge so you can prioritize reviewing them.

### Successful

Standard-quality interviews with useful responses. These form the bulk of your data and are included in [insights](/interviews/insights).

### Poor Quality

Interviews where the feedback wasn't useful. Common causes:

* **Very short duration** — Interviews under 2 minutes typically lack substance
* **Off-topic discussion** — User didn't address your questions
* **Technical issues** — Audio problems or disconnections interrupted the conversation
* **One-word answers** — Only brief, surface-level responses throughout
* **Uncooperative behavior** — User was joking, testing the system, or not engaging genuinely

Poor quality interviews are excluded from [insights](/interviews/insights) to prevent low-quality responses from skewing your patterns.

## Filtering Conversations

On the conversation history page, use the filter toggles to control which interviews you see:

* **High signal only** — Show only interviews marked as high signal
* **Show test** — Show or hide test interviews
* **Show low quality** — Show or hide poor quality interviews

## Manual Quality Marking

You can override the automatic evaluation from any conversation's detail view:

1. Open the conversation detail page
2. Click the actions dropdown
3. Mark the interview as **high signal**, **poor quality**, or **test**

This is useful when the automatic evaluation misses a particularly valuable interview or flags one incorrectly.

<Tip>
  If you're seeing many poor quality interviews, review your experiment setup. Clearer [questions](/interviews/questions), better [product context](/interviews/experiments#product-context), or a different audience might help.
</Tip>