# Interview Transcript

### Interview Transcripts

### Overview

The Interview Transcripts tab provides a WhatsApp-like view of every individual conversation that has taken place in your study. You can read through each participant's full journey — from structured survey questions through to AI-moderated interview responses — exactly as it appeared in the WhatsApp chat.

This is the closest you'll get to sitting alongside the participant and watching them complete the study in real time.

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### At a Glance

* **Best for:** Reviewing individual participant conversations
* **Shows:** Survey responses, AI follow-ups, media, and timestamps
* **Useful for:** QA, insight discovery, and participant review
* **Export option:** Download transcript data as CSV
* **Best companion page:** Interview Analysis for pattern-level analysis

{% hint style="info" %}
Use **Interview Transcripts** to inspect individual conversations. Use **Interview Analysis** to identify patterns across many conversations.
{% endhint %}

{% content-ref url="interview-analysis" %}
[interview-analysis](https://docs.askyazi.com/results-and-reporting/interview-analysis)
{% endcontent-ref %}

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### What You See

#### Conversation View

Each transcript displays the full conversation in a familiar chat-style interface:

* **Survey questions and responses** — The structured questions appear first, with the participant's selected answers.
* **AI interview questions and responses** — The AI moderator's follow-up questions and the participant's replies appear in sequence.
* **Voice notes** — Displayed with an audio player and an automatic transcription of what was said.
* **Videos** — Displayed with a player and an automatic transcription of any spoken content.
* **Images** — Displayed inline within the conversation.
* **Timestamps** — Each message is timestamped so you can see the pace and rhythm of the conversation.

The interface makes it easy to follow the participant's full journey and understand the context behind each response — how one answer led to the next question, how the AI probed on specific topics, and where the participant shared the richest insights.

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#### Participant List

The left panel displays a list of all participants. Click on any participant to load their individual transcript. You can also click **Load All** to load all participant conversations at once.

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#### Conversation view helps you

* Read the full participant journey
* Check question flow and logic
* Review media and transcriptions
* Understand response context
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#### Participant list helps you

* Jump to a specific person
* Review one transcript at a time
* Load all conversations together
* Compare engagement across participants
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### Monitoring Progress

#### Progress Tracking

Click the **Progress** view to see how far each participant has progressed through the study.

You can quickly identify:

* Participants who have completed the study
* Participants who started but have not finished
* Participants who have not started
* Participants who have not engaged within a selected time window

#### Acting on Progress Data

Use progress tracking to:

* Identify drop-off points
* Trigger reminder messages
* Follow up with high-value participants
* Monitor whether fieldwork is on pace

{% hint style="info" %}
Progress tracking is especially useful during live fieldwork. It helps you act before a study loses momentum.
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### Exporting Transcripts

#### CSV Download

Click **Download CSV** to export all transcript data.

The export includes:

* Participant identifier and contact details
* Survey responses
* AI interview questions and answers
* Voice note and video transcriptions
* Media file URLs
* Timestamps
* Translated responses, if multi-language is enabled

This gives you a complete, structured dataset for analysis outside the platform.

{% hint style="info" %}
Use the transcript export when you want to analyse conversations outside the platform or share raw material with a team.
{% endhint %}

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### What Makes This Valuable

**Quality checking** — Read through conversations to verify that the AI is asking relevant follow-up questions and participants are providing genuine responses.

**Insight discovery** — Scan transcripts for powerful quotes, unexpected themes, and rich verbatims.

**Participant empathy** — Experience the study from the participant's perspective to identify friction points or confusing questions.

**Stakeholder sharing** — Show clients or colleagues exactly what the participant conversation looks like, building confidence in the methodology.

**Identifying standout participants** — Flag individuals whose responses deserve deeper follow-up via [Agent Takeover](https://docs.askyazi.com/results-and-reporting/agent-takeover-human-moderation).

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#### Best for researchers

* QA on live studies
* Finding strong quotes
* Checking AI behaviour
* Spotting friction points
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#### Best for stakeholders

* Seeing real participant journeys
* Building confidence in the method
* Reviewing standout conversations
* Understanding the participant experience
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### Known Limitations

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**Known limitations**

* **Large studies take time to load** — Loading all conversations in a large study may take a moment.
* **Automatic transcription is not perfect** — Review important voice and video transcripts manually when accuracy matters.
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