Here is how to move from raw interview recordings to a clear, shareable set of insights in Notably.

Step-by-Step Guide

1. Bring your research into one workspace

Create a research project in Notably and import your interviews – whether as recordings, transcripts, or notes. Centralizing everything in one place is what lets the AI find cross-session patterns later.

2. Transcribe and let AI identify themes

Let Notably transcribe each recording, then run its theme detection. The AI surfaces recurring topics and sentiments across sessions so you can see what actually matters to users rather than guessing.

3. Tag participants and add context

Add participant details and tags so you can segment findings – for example by persona, role, or usage frequency. Contextual tags make it possible to compare how different user groups experience the same feature.

4. Build an affinity map or framework

Structure your findings by grouping related insights into an affinity diagram or a framework. Notably gives you the visual space to organize themes into a coherent story about your users’ needs and pain points.

5. Generate a summary and share it

Use Notably’s AI summaries to draft a concise, evidence-backed brief. Share it with stakeholders so product and design decisions are grounded in what users actually said.

Notably replaces hours of manual note-sorting with a structured, searchable research workflow. By centralizing your sessions, surfacing AI-detected themes, and building frameworks, you can consistently turn user interviews into defensible product insights. Find more detail on the Notably tool page.

The best research habits still apply – moderate well and ask open questions – but with Notably handling transcription and analysis, you can run more studies and act on their findings far sooner.