Analyze Your Study

Overview

This guide explains how to review, interpret, and export your Tellet interview data. It covers automated insights, filters, visualizations, and reporting best practices for turning conversational data into actionable outcomes.

Step 1: View your results

Once your interviews start completing, results update in real time - no need to wait until fieldwork ends.

Access your data:

• Open your project.

• Go to the Results tab.

• Choose between Overview, Questions, Transcripts, or AI Search to explore insights.

Step 2: Understand the types of insights

Tellet automatically processes both qualitative and quantitative elements from every conversation.

Thematic Insights

AI extracts common patterns and topics across all answers.

Output: Themes and clusters.

Verbatim Transcripts

Every voice, text, or video response is transcribed.

Output: Full searchable transcripts.

Key Quotes

Highlights most impactful phrases and emotional cues.

Output: Quote cards for reports.

Quantified Responses

Spoken ratings or preferences are converted into data visualisations.

Output: Bar charts & visuals.

Segmentation Filters

After completing a project, you can view differences by audience attributes or screeners.

Output: Filtered dashboards.

Step 3: Filter by metadata or audience

You can analyze results through the lens of different audience groups:

• Once you completed a project, in the Results tab, click Select Filter → Add Filter.

• Choose metadata fields (e.g., age, gender, market, device, screener responses).

• Apply filters to isolate or compare segments.

Example:

• Filter by "UK vs. Germany" or "Male vs. Female" to see variation in sentiment or theme frequency.

Step 4: Export and share your results

Tellet supports multiple export options:

• CSV Export: Full transcript data for further analysis.

• Copy or Screenshot: For visualizations and charts.

• Coming soon: PowerPoint exports with charts and summaries.

To export:

• Open Results → Transcripts → Export Data.

• Select CSV or TXT to download raw transcripts and metadata.

Step 5: Interpreting your findings

Combine Tellet's qualitative depth with quant-style visuals for a full picture:

• Use Themes for "what people said".

• Use Sentiment and Tone to understand "how they felt".

• Use Quantified Ratings to validate "how strongly they felt".

Quick Tip:

A Tellet study with 100+ voice interviews can yield thousands of words of open-text data—but the AI's automatic clustering and theming reduce analysis time from weeks to hours.

Best Practices

• Check results as interviews come in—real-time updates help you pivot early.

• Use filters to compare subgroups or markets.

• Combine qualitative quotes with visual quant data in reports.

• Always export a CSV backup at project close for recordkeeping.

Need help?

Have questions about analyzing your Tellet results? Reach out to your Tellet contact for support.