What workflow would this feature improve for you?
A
Prioritize Feature Requests
Interviewer agent · 2.5K uses
Interviewer Agent
Jobs-to-Be-Done Interview Template
Static Scripts Miss Why Customers Buy. Product teams need rich customer insights to build features that matter. This template conducts structured Jobs-to-Be-Done interviews that dig into customer motivations, pain points, and desired outcomes with intelligent follow-up questions.
Real Motivations
Buying Triggers
Churn Signals
Used 1,153+ times
What's inside this template
Start from this conversation and adapt it to your team — change any question, add your own logic, and connect the tools you already use.
Questions it always asks
The core fields every response captures.
What triggered you to look for a solution like ours?
What would have to happen for you to consider this job successfully done?
How it adapts
Follow-ups that change based on what people say.
If customer mentions switching from a competitor, ask about migration challenges
If customer describes workarounds, probe for frequency and effort required
Where it routes people
Different paths for different answers.
Route power users to product beta feedback team
Send price-sensitive responses to customer success team
Automations it can trigger
Actions that fire the moment a response comes in.
Create customer persona tags in HubSpot based on job type
Add insights to product feedback board in Linear
Schedule follow-up interviews for high-value segments
SOC 2 Type II and ISO 27001:2022 certified. Responses are encrypted in transit and at rest, and you own your data. View our Trust Center.
How this AI template works
The AI guides customers through their job story, asking about triggers, struggles, and desired outcomes. It adapts follow-up questions based on their responses and probes deeper into specific pain points or use cases mentioned during the conversation.
Getting started
- 1
Define the job scope and target customer segment
- 2
Customize follow-up questions for your product category
- 3
Set up integrations with your research tools
- 4
Share the interview link with customers
Template Details
- Agent Type
- Interviewer
- Category
- Product & research
- Industry
- SaaS / Tech
- Business outcome
- Build the right product
- Job to be done
- Interview customers & users
- Journey stage
- Discovery & research
- Replaces
- 1:1 interviews
- Integrations
- Slack, Notion, Webhook
- Times Used
- 1,153+
Forms collect fields. Conversations capture context.
Static forms force complex situations into rigid dropdowns. Perspective captures structured data and the reasoning behind it — so your team makes better decisions, faster.
The static form
yoursite.com/intake
Category *
Select...
Details
Describe your situation...
Submit
Result:Category: "Other"|Details: "It's complicated"
No context. No follow-up. No next step.
- Fixed interview scripts force customers into predetermined paths when discussing their buying journey. When they mention a trigger event, you can't explore what made that moment the breaking point or how long they struggled before deciding to act.
- Multiple choice questions about product selection miss the emotional and social factors behind hiring decisions. Customers can't explain why they ruled out competitors or what the choice says about them to their team or industry peers.
- Static satisfaction surveys capture ratings but miss the context of why customers hired your product. You get scores without understanding the job they needed done or the progress they were trying to make when they chose you.
The AI conversation
"Tell me more about the timeline — when did this start, and is there a deadline your team is working against?"
Extracted & structured automatically
Category
High-priority
Urgency
Deadline: 2 weeks
Sentiment
Frustrated but hopeful
Next step
Route to senior team
Triggered: Slack alert sent| CRM updated
Right team. Full context. Instant action.
- Adaptive conversations follow the customer's timeline naturally, exploring trigger events as they mention them. When someone describes their breaking point, the AI probes deeper to understand what pushed them from struggling to actively seeking a solution.
- Dynamic questioning reveals functional, emotional and social dimensions of hiring decisions. Customers explain not just what they needed to accomplish, but how they wanted to feel and what choosing your product communicated to others.
- AI conversations uncover the complete competitive landscape from the customer's perspective. Users explain every alternative they considered, including non-consumption and workarounds, plus exactly why they ruled out each option.
What Questions Uncover Real Jobs-to-Be-Done Motivations?
Effective JTBD questions focus on the customer's timeline and progress, not product features. Start with their first thought of needing a solution and what triggered that moment. Explore their struggle period and what pushed them to act. Ask about alternatives they considered and why they ruled each out. The best jobs to be done interview questions reveal functional needs, emotional desires, and social implications of their hiring decision. Focus on understanding the forces that created momentum toward purchasing rather than satisfaction with features after buying.
FAQ
Frequently Asked Questions
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