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Home/Analyzing User Interviews
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Hinto AI

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Understand the User Research Workflow

The User Research Workflow in Hinto is a structured, two-step process that automates the analysis of user interviews to validate your hypotheses. This workflow transforms raw video recordings into a comprehensive insights report, saving significant time and providing a clear, aggregated view of your findings.

What the User Research Workflow Is

The workflow begins with your raw research materials—interview videos and predefined hypotheses—and uses AI to generate structured, analytical reports. The process is broken down into two main stages:

  1. Evidence Mapping: After you upload your interviews and provide context (like research goals and hypotheses), Hinto analyzes each video individually. It maps moments from the interviews back to your hypotheses, indicating whether an idea was mentioned, confirmed, or contradicted. This creates a detailed report for each participant.
  2. Insights Report Generation: Hinto then aggregates the findings from all individual interviews into a single, high-level summary report. This report synthesizes the collective evidence to show which hypotheses were validated, partially supported, or rejected across your entire research study.

Why the Workflow Matters

Manually analyzing hours of interview footage is time-consuming and prone to human bias. Hinto's automated workflow streamlines this process, allowing you to focus on strategy instead of manual transcription and evidence tagging. Key benefits include:

  • Increased Speed: Get from raw interviews to actionable insights in a fraction of the time.
  • Objective Analysis: Reduce confirmation bias by letting AI systematically map evidence from all interviews to your hypotheses.
  • Clear Communication: The final summary report provides a concise, shareable artifact for stakeholders, making it easy to communicate key findings and drive data-informed decisions.

How It Works

The workflow is designed around a simple input-process-output model. You provide the necessary materials and context, and Hinto's AI handles the analysis.

  • Input: You start by creating a Customer Interview project and providing two things: your recorded user interviews (via upload or link) and your research context (business problem, research goals, and the hypotheses you want to test).
  • Process: Hinto's AI uses the context you provided as a guide to analyze the video transcripts and on-screen activity. It identifies key themes, pain points, positive feedback, and direct evidence related to your hypotheses.
  • Output: The final output includes a collection of structured reports—one for each interview—and an aggregated summary that synthesizes the findings from all sessions into one document.

Summary

This article provides a conceptual overview of Hinto's User Research Workflow, which automates the transformation of interview videos into actionable insights. By mapping evidence to hypotheses and generating an aggregated summary, this feature helps you validate research findings quickly and objectively.

Related

  • Set Up a Customer Interview Project and Define Research Context
  • How to Analyze a User Interview Recording
  • Understand the Aggregated Hypothesis Validation Summary
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