senze.ai
Cultural Diagnosis
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Qualitative Insights at Scale.

Listen to everyone in your organization in their own words, and see what matters for your next decision.

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Dialogue formats

Three ways to listen.

We don't tap data sources. We offer a conversation space. In three ways:

01 Self-service

Qualitative Surveys

Open-ended questions instead of scales, answered by text or voice. AI analysis at expert level.

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02 On the platform

AI-Guided Interviews

The depth of a conversation, the scale of a survey. 10 to 15 minutes, adaptive, with hundreds of people at once.

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03 Pilot phase

Moderated Live Dialogues

Speaking-and-listening formats, recorded, transcribed and analyzed. Piloted with Mehr Demokratie e.V.

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Analysis Modules

What our analysis sees

Tensions, pain points, resource fields, value patterns — condensed from hundreds of voices in no time.

Identify Themes

Finds the most important clusters and topics in thousands of text responses. You immediately see what truly matters to the organization.

Reveal Tensions

Shows where perspectives diverge, where ambivalence builds, and where real tension exists across the organization.

Sense the Mood

Analyzes the emotional tone of responses — from rejecting through neutral to affirming. So you can see how a topic is felt within the group.

Surface Pain Points

Reveals the most urgent problems and friction points. This helps you see where targeted action will have the greatest impact.

Reveal Resource Fields

Shows the stable foundations and underused potential within your organization, so you can see which strengths you can build on deliberately.

Identify Value Patterns

Analyzes value systems and cultural logics in the organization through the lens of Spiral Dynamics. This reveals the perspectives and patterns that shape it.

Map the Integral Landscape

Shows how your organization is positioned across different developmental lines. This reveals what transformation can build on.

From question to data-backed decision — in minutes.
“Withsenze.ai,wewereabletodistillfromhundredsofresponseswhattrulymatterstopeopleinthestrategyprocess.Notraditionaltoolcouldhavedonethis.”
Alf Pille,CEO LBV — Bavarian League for Bird and Nature Conservation
“Category-defining.Anyonewhouseshumansentimentasatoolbutcouldn'taffordtheoldmethodsisapotentialcustomer.”
Tobias,OD Consultant & Facilitator

Use Cases

Organizational Development

For organizations that want to do more than measure change. They want to understand it.

Participatory Decision Processes

For processes where many perspectives need to be heard and translated thoughtfully into decisions.

For consultants

Culture diagnostics in two weeks instead of two quarters.

When you support an organization, senze.ai groups people's written responses into themes and tensions. At LBV, supported by imu Augsburg, the survey was open for two weeks, and the 1,748 responses were then analyzed in under two hours. You then discuss with the organization what the findings mean.

  1. 01

    Deepen an ongoing engagement.

    Add a survey to your work and test your hypotheses against the findings.

  2. 02

    Start with a survey.

    Gather the views of many people and discuss the findings in a first review session.

  3. 03

    Make change visible.

    Survey people again later and compare which themes recur and which shift.

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Case studies

How isb and LBV used senze.ai.

Works Councils love us ♥

Three layers of protection between answer and analysis. So that honesty has no negative consequences.

01

Anonymization

Answers are completely separated from the identity of the participants server-side.

02

Pseudonymization

Personally identifiable data within free text (like names or places) is recognized and masked by AI.

03

Paraphrasing

The AI rewrites answers upon request so nobody is recognized by their individual writing style.

✓ AI Analysis & DB in the EU ✓ 100% GDPR-compliant ✓ No training on customer data

Start for free with 99 credits.

Speed
10 min
from raw data to insights
Scale
10 - 10,000
voices per survey
Depth
10+ modules
AI analysis per response
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