Datory Insight LabLaunch an Interview
AI-supported qualitative research

Turn conversations into decision-ready insights.

Datory Insight Lab runs AI-supported interviews that combine the depth of qualitative research with the scale of a survey — built for research teams, institutions, and organizations that need insights they can act on.

◷  ~10 minutes per session▣  Structured, secure data capture▥  Analysis-ready output

Who it is for

Built for organizations that need to understand people

01

Companies

Understand customers, employees, partners, and market needs.

02

Universities & research teams

Collect rich qualitative insights from students, alumni, staff, or study participants.

03

Public organizations

Understand citizens, communities, departments, and service users.

04

Consultancies & innovation teams

Structure discovery, stakeholder research, and early-stage project scoping.

The challenge

Valuable insight stays buried in transcripts.

Organizations collect valuable input through interviews, surveys, meetings, emails, and feedback forms — but the real insight often stays fragmented, unstructured, and difficult to act on.

The solution

Depth and scale, working together

Insight Lab combines the depth of interviews with the scalability of digital research. It guides conversations, asks adaptive follow-up questions, captures structured data, and helps teams move from raw responses to clear decisions.

What the platform does

01

Interview

Run adaptive AI-supported conversations with your target group.

02

Structure

Capture responses, metadata, categories, and context in a consistent format.

03

Analyze

Extract themes, pain points, priorities, patterns, and differences between groups.

04

Communicate

Generate dashboards, decision briefs, reports, and insight stories for stakeholders.

Use cases

Research that fits the decision in front of you

Customer discovery

Understand what customers need, why they hesitate, and how they experience your product or service.

Employee listening

Collect honest input about internal processes, workload, culture, tools, and improvement opportunities.

Student and alumni insight

Help universities understand student journeys, program experience, onboarding, retention, and career needs.

Citizen and community engagement

Support public organizations in collecting structured input from citizens, communities, and service users.

Project discovery

Clarify stakeholder needs, KPIs, decision problems, and requirements before building dashboards, AI tools, or data systems.

Research interviews

Scale qualitative research while keeping structure, transparency, and human review.

Outputs

What you receive

Research artifacts designed to move beyond observation and support clear action.

01

Insight dashboard

Visual overview of responses, themes, segments, metadata, and key findings.

02

Decision brief

A concise summary of what matters, what patterns appear, and what actions could follow.

03

Theme analysis

Recurring needs, concerns, barriers, opportunities, and stakeholder priorities.

04

Structured dataset

Exportable data for further analysis, reporting, or integration.

05

Story-based report

A clear narrative that communicates findings to non-technical stakeholders.

Trust

Designed for responsible AI use

Insight Lab is designed to support, not replace, human judgment. AI helps structure conversations and accelerate analysis, while final interpretation, reporting, and decision-making remain human-reviewed.

Human-in-the-loop analysis
Consent-based participation
Configurable interview design
Anonymization options
Transparent reporting
Privacy-aware workflow

Live interview

What an adaptive session looks like

Follow the interview as it moves from consent and context into a responsive qualitative conversation.

Live Session
Participation Consent
Demographic Context
Qualitative Interview

Session progress

Start listening at scale

Turn your next conversation into a decision.