Listen’s Analysis tools transforms raw interviews into structured findings automatically. Once your interviews are complete, head to the Analysis tab to explore your data across three purpose-built views: Report, Details, and Chat.
Each view is designed for a different stage of the analysis process, from high-level summaries to granular deep dives to open-ended exploration. This guide walks you through every part of the experience so you know exactly where to look for what you need.
Report
The Report tab generates a narrative organized around your study objectives. Think of it as your goals-first view — it shows how your research answers the specific questions you came in with.
Each study objective gets its own section with relevant findings pulled directly from participant responses. Live charts are embedded alongside the narrative so you can see patterns at a glance, and every data point links back to the individual responses behind it. The full report is shareable and exportable, making it easy to hand off to stakeholders without additional formatting.
Use the Report tab for executive summaries, stakeholder updates, and answering the question: “Did we learn what we came to learn?”
Details
The Details tab is your comprehensive, question-by-question analysis view. This is where you go for depth. For each question in your study, you get:
- AI-generated summaries that concisely synthesize what participants said across all responses.
- Theme analysis with auto-generated themes drawn from response data. Click any theme to read the underlying responses, and edit labels, merge, split, or recode themes to match your team’s language.
- Outlier detection that surfaces surprising or minority perspectives — these often signal emerging trends worth investigating.
- Video highlights — compilation clips with closed captioning that show the most relevant responses.
- Quantitative breakdowns that give you a statistical view of qualitative responses organized by theme.
- Segment comparisons that let you compare responses across audience groups side by side (more on segments below).
From the Details tab you can also generate ready-to-present PowerPoint slides with visualized data and key findings. Download them directly for immediate sharing, or generate multiple targeted decks focused on different questions or segments and combine the best slides into a final presentation.
Use the Details tab for deep-dive analysis, understanding the “why” behind the data, and building presentation materials.
Chat (Research Agent)
The Chat tab lets you ask questions about your data in plain English. The Research Agent answers with citations linked to specific participants and timestamps, so you can always verify the source.
This is especially powerful for exploratory analysis and for finding supporting evidence for findings you’ve already identified. Some example prompts to get started:
- “What do younger users think about the product design?”
- “What common pain points did participants mention?”
- “Which concept generated the most positive emotional responses?”
- “Show me quotes from participants who mentioned price as a concern.”
- “How does usage intent compare for Segment Group A vs. Group B?”
- “Summarize what participants said about [research objective]”
A quick tip: be specific. “What do younger users think about the product design?” will get you better results than “What do people think?”
Use the Chat tab for exploratory analysis, answering specific questions quickly, and finding supporting evidence for key findings.
Working With Segments
Segments let you split participants into groups based on shared characteristics so you can compare how different audiences responded. You can define segments using screener question answers, multiple-choice answers from within your study, URL parameters passed into the study link, panel-provided respondent data, or imported CSV data appended to your study.
Once segments are set up, you can compare responses side by side across charts, AI summaries, and qualitative responses in the Details tab. You can also ask the Chat tab for segment-level comparisons directly.
For the best results, plan your segments before launching your study. Design your screener questions, quotas, and URL parameters with your intended comparisons in mind — it’s much easier to set this up before data collection than after. If a segment has fewer than 10 responses, treat its insights as directional indicators rather than statistically significant findings.
You can create advanced segments that combine multiple conditions using AND/OR logic. For example, you could combine gender with streaming subscriptions to create segments like “Female Netflix Subscribers” and “Male Netflix Subscribers.”
Editing and Refining Your Analysis
Listen’s automated analysis is a starting point, not a final answer. You have full control to refine the output:
- Edit theme labels to match your team’s terminology and frameworks.
- Merge overlapping themes or split themes that are too broad to be useful.
- Hide invalid responses from the analysis without permanently deleting them.
- Add annotations and notes to capture your own observations alongside the AI-generated findings.
Exporting Your Work
You can export your analysis in several formats depending on what you need:
- Full report as a shareable link or PDF
- PowerPoint slides generated from the Details tab or by Listen’s Research Agent
- Response data as CSV, Excel, or Google Sheets
- Video clips and highlight reels (see the Custom Clips article for details)
Generate multiple targeted PowerPoints focused on different questions or segments, then combine the best slides into a final deck.
