Interviewer Agent

Customer Segmentation Interview Template

Segmentation surveys miss what customers actually think. Go beyond basic demographics to understand how different customer segments actually use your SaaS product. This template explores usage patterns, feature adoption, and decision-making processes to create actionable behavioral segments for your marketing and product teams.

Real motivations
Natural conversations
Actionable segments
Used 2,288+ times
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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's your primary use case for our product and how frequently does your team use it?

  • Walk me through your decision-making process when evaluating tools like ours

How it adapts

Follow-ups that change based on what people say.

  • If company size > 500 employees, ask about procurement process and budget approval workflows

  • If user mentions specific competitor, explore switching reasons and feature gap analysis

Where it routes people

Different paths for different answers.

  • Route enterprise users (500+ employees) to account management team for expansion opportunities

  • Route users with low feature adoption to customer success for onboarding review

Automations it can trigger

Actions that fire the moment a response comes in.

  • Create HubSpot contact with segmentation tags based on company size and use case

  • Send Slack notification to product team when users mention specific feature requests

  • Update Mixpanel user profile with segmentation data and behavioral indicators

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 starts with basic firmographic questions, then adapts based on company size, role, and product usage patterns. It explores pain points, feature usage, and decision-making processes while following up on specific behavioral indicators that signal different customer segments.

Getting started

  1. 1

    Define your key segmentation hypotheses and behavioral indicators

  2. 2

    Set up conditional flows for different company sizes and roles

  3. 3

    Configure integrations with your CRM and product analytics tools

  4. 4

    Test the interview flow with existing customers from known segments

Template Details

Agent Type
Interviewer
Industries
SaaS / Tech
Roles
MarketingResearch
Integrations
Slack, Hubspot, Webhook
Times Used
2,288+

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.

  • Multiple-choice surveys force customers into predetermined categories that don't match how they actually think about their problems or make purchase decisions.
  • Static demographic questions miss the emotional triggers and situational factors that really drive customer behavior and loyalty.
  • Low completion rates on lengthy segmentation forms mean you're building customer personas based on tiny, biased samples of your most patient customers.

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 uncover the specific language customers use to describe their challenges, giving you messaging that resonates with each segment.
  • Follow-up questions automatically explore deeper when customers mention key decision factors, revealing the jobs-to-be-done that drive purchases.
  • Natural conversation format increases completion rates, giving you larger sample sizes and more representative data for each customer segment.

What makes customer segmentation research effective?

Effective customer segmentation research goes beyond basic demographics to understand behavioral patterns and decision-making processes. The best segments are based on shared motivations and pain points rather than surface characteristics like company size or industry. Start with questions about current challenges, how they evaluate solutions, and what success looks like in their role. Ask about their decision-making process, preferred information sources, and biggest frustrations. This depth creates segments that predict behavior and inform messaging strategies that actually convert.

FAQ

Frequently Asked Questions

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Forms are costing you business

Replace drop-off, poor qualification, and missing context with AI conversations that capture structured data and real understanding. Set up in minutes.

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