New: AI-assisted audience studies are now available

Explore audience studies

Understand your audiences before the decisions are made.

uxspire's audience research software turns real answers from your users into clearly separated clusters — not gut feeling, not workshop personas. One click, and you see who really uses your product, what moves these people and where they differ.

12k+ Responses condensed into clusters in seconds
100% GDPR-compliant · hosted on servers in the EU
0× Statistics expertise needed — the methodology lives in the product
Cluster map · 4 segments
live · n = 1,284
Engagement → Value ↑
L Power user "Lena" · 28%
M Evaluator "Markus" · 31%
S Occasional "Sara" · 24%
Clusters vs. gut feeling

Personas from real data — not from the workshop whiteboard.

Most teams work with personas that were created once at an off-site and that no one has touched since. Audience research turns real study responses into a living picture of your users in minutes.

● Before

Scattered answers, missing patterns.

Spreadsheets with thousands of free-text answers. Demographic fields no one brings together. Hypotheses that can never be tested.

● With audience research

Clear segments, instantly readable.

The study automatically clusters answers by clear response patterns. You get segments with size, defining traits and ready-to-use persona set cards.

How it works

From the answer to a persona that speaks — in four steps.

The study sits directly on the answers you collect with uxspire. No export, no second tool, no Python notebook.

Study responses 4 question types
SV
Single Choice · Needs
1,284 responses
CS
Rating · Usage value
812 responses
UE
Likert · Expectations
624 responses
EV
Free text · Motivations
438 responses
+
Use a template
Blank · Template · Questions
Cluster detection k = 4 · adaptive
Detected segments 4 of 4 · editable
PU
Power user "Lena"
Daily usage, high value, drives referrals. Wishes for deeper automation.
28%Share
EV
Evaluator "Markus"
Actively compares with competitors, blocked on the permissions model.
31%Share
GE
Occasional user "Sara"
Monthly usage, high benefit. Onboarding is too long for her use case.
24%Share
CH
Hesitant decision-maker "Jonas"
High comparison intensity, a missing key feature. Purchase barriers become clearly visible.
17%Share
Persona set cards PDF ready
Strongest differentiators per segment
Cluster · instantly visible
Signal
More-likely and less-likely profiles
Persona · data-driven
Profile
Targeting cautions for messaging
Marketing · more precise
Note
Refine cluster names editorially
Research · in the product
Editable
Set cards as PDF to stakeholders
Export · 1 click
Ready
23 industry templates

Don't start from zero. Start from your industry.

Instead of a generic study, uxspire delivers 23 editorially crafted audience templates — from hotels to insurance, from pharmacy to e-commerce. Each ready to use, all fully editable.

23 industriesEnglish · instantly availableSections, scales & logic preconfiguredFully editable
Analysis

One dataset. Four perspectives.

Comparison, Matrix, Radar, Focus. Four ways to read the same clusters — you switch the view, never the tool.

Every mode reads the same clusters — just through a different lens. From a quick overview to persona depth.

analysis · comparison
The fastest look at real differences.
  • Strongest deviations. Shows what truly separates audiences — sorted by discriminative power.
  • For first hypotheses. Which patterns jump out, which segments behave differently from the average?
  • Deliberately focused. Top findings instead of every question. Open answers live in Matrix and Radar.
Top findingsby largest cluster spread
Segment 1Segment 2Segment 3 Dot = cluster value · Bar = range
The complete question analysis.
  • Every question in study order. How each cluster performs per answer option — nothing is cut short.
  • For detailed work. Systematically review every question, every segment, every answer.
  • Open text included. Word cloud, cluster filter and raw answers show wording per segment.
Questionnaire6 questions · study order
Visual pattern recognition.
  • Similar or different? Shows per dimension where clusters align and where they diverge.
  • Fast segment pictures. Shapes, gaps and dominant axes instead of tables.
  • The web doesn't fit? Short scales or text questions appear as a bar or answer card.
Profile radar9 dimensions · 3 clusters
Hover over an axis or area for cluster values and the related question.
One cluster at the center.
  • What makes the segment special? Where it responds more strongly and more weakly than all the others.
  • For persona work. Read one segment, sharpen it and translate it into language for marketing, product or research.
  • Purely quantitative. Measurable signals. Open answers deliberately stay in Matrix and Radar.
In focus:
Who works with it

From conversion to go-to-market.

Three teams, three applications — the same study, clear segment signals.

Product & UX

Roadmap decisions with evidence.

Which audience needs more guidance? Which rates the value especially highly? Instead of hypotheses, you build arguments with a concrete share and measurable answer signals.

Cluster comparison by question
Persona set cards per segment
Onboarding hypotheses with evidence
Marketing & Lifecycle

Campaigns that don't scatter.

Sharpen language, hook and offer per segment. You see which answers an audience gives more or less often than average — ideal for better campaign hypotheses.

Messaging signals per persona
Targeting cautions
PDF set cards for campaign planning
Sales & CS

Understand objections earlier.

Which segments compare more? Where is trust, clarity or a key feature missing? Sales and CS get a better basis for conversations, demos and follow-ups.

Objection patterns per segment
Cluster-based talking points
PDF export for stakeholders

Questions & answers

No. The cluster methodology lives entirely inside the product. You see segments, shares, differentiators and persona set cards — the mathematical layer is a detail you can review on request but never have to build yourself.
You can start an analysis from 100 received responses onward. The more reliable responses you collect, the clearer the clusters, differentiators and persona set cards become.
Yes, via the questions in your audience study. You decide which answers, scales and free-text fields feed into the segmentation. Workspace-wide events and custom properties are currently not automatically adopted as cluster dimensions.
All study data stays in your workspace and is processed on servers in the EU. User identifiers are handled via pseudonymized profile IDs; external LLMs are not used for cluster computation. A data processing agreement is part of enterprise contracts.
Audience research is included in Demo, Voice of Customer, Bundle and Enterprise, but not in the Tracking plan. Current limits: Demo 1, Voice of Customer 1, Bundle 5 and Enterprise 10 audience studies. Enterprise teams receive individual contract and data protection options.
Audience research

From gut feeling to a reliable persona.

Real answers instead of a workshop whiteboard. Cluster-based segments from 23 industries — ready to use in product, marketing and research right away.


No workshops 23 industries Cluster method GDPR-compliant