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Derive JTBD from Voice of Customer: Turn Customer Language into Clear Jobs-To-Be-Done

TL;DR: What this template does

This template extracts Jobs-to-be-Done (JTBD) from customer interviews and surveys.
Upload VOC data, and get a structured summary of what customers are actually trying to accomplish — plus quote-backed insights to drive product, UX, and messaging.

Why product strategy starts with understanding the job

Customers don’t buy features — they hire products to solve problems.

This template helps you map those “jobs” directly from their language, without the jargon or guesswork.

Definition: A job-to-be-done (JTBD) is a task or outcome customers are trying to complete — surfaced through patterns in goals, frustrations, and workaround language in interviews.

How does this template work?

Step 1: Upload Interview or Survey Feedback
  • Use discovery interviews, exit interviews, open-ended survey data
  • Accepts audio, video, or transcripts
  • Ideal with 6–12 conversations across different use cases
Step 2: Extract JTBD Themes
  • AI detects goal-oriented language and problem-solving patterns
  • Tags quotes with verbs, outcomes, and emotional cues
  • Groups JTBDs by functional, emotional, and social types
Step 3: Output — JTBD Dashboard
  • List of jobs with customer quotes and context
  • Breakdown by use case, persona, or lifecycle stage
  • Downloadable for product, UX, marketing, and strategy teams

What benefits does this template provide?

BenefitDescriptionImpact
Product ClarityDesign features that solve actual jobsImprove product-market fit
Better MessagingFrame value around goals, not just featuresIncrease resonance and clarity
Prioritization InsightFocus on high-urgency jobs customers pay to solveAccelerate growth strategy
Research EfficiencySkip manual JTBD synthesis from hours of interviewsSave research and planning time

How do different teams use this template?

Product Strategy — Build roadmaps aligned to actual customer jobs
UX Researchers — Tie behavior to intent and design around it
PMMs — Craft messaging based on what users are trying to get done
Founders — Align value prop to real-life workflows and frustrations

Frequently Asked Questions

Do I need to define jobs ahead of time?
No — the system discovers job patterns based on natural language and goals.
What if customers use vague language?
The AI analyzes intent across multiple signals — it extracts jobs even from partial expressions or emotional descriptions.
How is this different from persona-based planning?
Personas tell you who. JTBD tells you why and what. This template is about motivation, not demographics.

What Teams Are Saying

“Insight7 turned messy interviews into a clear JTBD dashboard. We redesigned two core workflows around what users actually hired us to do.”


— Juliane von Kameke, Research Leader

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