Qualitative Discovery at Scale

Find out why plans and reality diverge.

heyChange runs scalable, AI-supported interviews with open answers and adaptive follow-ups — inside organizations and with customers. Unknown causes, motives and contradictions become visible before decisions come too late.

One product core: open qualitative answers, adaptive AI follow-ups, automatic structuring and detection of motives, causes and contradictions.

Campaigns in minutesEU data processingAI transparency
Transformation riskLIVE

03

Workarounds keep the process running.

Three locations describe the same target process, but use different Excel and Teams workarounds.

hochStrength of Evidence
3Locations
priorityField of measures
Operations"...premises Workaround..."
IT“…unclear dependency…”
85%Participation in the pilot
3Language configurations
10Cause clusters
11prioritized measures

Anonymized multilingual pilot. Real campaign data, presented in aggregate form — without exaggerated ROI claims.

One platform.
Two clear areas of use.

The same product core — configurable campaigns with open answers, adaptive AI follow-ups and automatic structuring.

01

Organizational Discovery

Understand why processes, change and collaboration do not work as planned.

Identify process breaks, dependencies, resistance and local workarounds — across functions, locations and languages.

  • Transformation & process reality
  • Workarounds and dependencies
  • Acceptance and resistance
Explore Organizational Discovery

Product core

  • Open qualitative answers
  • Adaptive AI follow-ups
  • Scalable execution
  • Automatic structuring
  • Motives, causes, contradictions
  • Configurable campaigns

Process models show the target state. heyChange finds lived reality.

Existing methods provide valuable partial images. For complex transformations, they alone are often not enough to identify unknown organizational risks early on.

01

Process Mining

Shows what happens in IT systems - but often not why employees bypass processes.

02

Organization chart

Show reporting lines, but no informal dependencies and critical islands of knowledge.

03

Workshops & Interviews

Provide depth, but only reach a few people and require many consulting days.

04

Standardized surveys

Measure known topics, but rarely find the unknown causes.

heyChange complements process mining, enterprise architecture and change programs as a qualitative discovery layer. Qualitative depth. Organization-wide reach. Dynamic queries.
Supplementary discovery layer

Do not replace.
But make visible what would otherwise be overlooked.

01 · Existing methods

Strong partial images

System data, models, workshops and surveys each provide important perspectives - but often isolated and with blind spots.

02 · heyChange

Opening up lived reality in a scalable way

Open answers in natural language, contextual queries and condensed patterns across functions, locations and languages.

01

Identify unknown process breaks before rollout

02

Identify local exceptions and workarounds

03

Prioritize transformation risks

04

Support decisions with understandable evidence

Find out how your transformation can succeed more effectively.

Three clear discovery offerings for ERP, AI, reorganization, integration and efficiency programs.

01

Process Reality Check

Compare modeled processes with the way you actually work.

  • lokale Workarounds
  • Handover problems
  • unclear responsibilities
  • contradictory process variants
  • prioritized causes and areas for improvement
03

Carve-out & Integration Discovery

Make invisible operational dependencies visible before and after a separation or integration.

  • critical knowledge
  • ongoing shared service dependencies
  • informal interfaces
  • Handover and continuity risks
  • 30/60/90 day measures

Further Organizational Discovery fields

Additional campaign formats within the same platform.

04

Impact Assessment

Record what has really changed before and after a measure.

05

Software, ERP & AI

Capture requirements, opportunities and adoption risks before rollout.

06

Operating Model

Examine role understanding, handovers and decision paths across the organization.

07

Service & product internally

Openly deepen internal needs and friction points.

Better Brand Decisions.

Don't just let customers rate it, but understand why.

AI-supported, dynamic dialogues help brand, research, product and management teams validate assumptions early, surface new perspectives and prepare decisions on stronger evidence.

Qualitative interview depth — scalable like a survey.

heyChange goes beyond classic surveys: the platform asks targeted follow-ups based on answers and deepens relevant motives, expectations, barriers and contradictions.

Campaign design, methodological review or results workshops can be added if needed.

How a campaign works

  1. 01
    Choose or describe a research goalBrand, product, campaign or customer discovery.
  2. 02
    Define hypotheses and target groupsDefine segments, assumptions and success criteria.
  3. 03
    Create or generate an interview guideManually or with AI support.
  4. 04
    Invite participantsSend invitations and start the campaign.
  5. 05
    Run adaptive AI interviewsOpen answers with context-dependent follow-ups.
  6. 06
    Analyze the dashboard and exportEvaluate patterns, motives and contradictions.
Brand Research
Positioning and concept tests
Customer Discovery
Campaign and communication feedback
Product and service research
Purchase motives and decision barriers
Brand perception and differentiation

From interview guide to structured analysis.

Configure campaigns, invite participants and analyze motives, causes and contradictions in the dashboard. NDA, DPA or optional reviews can be added if needed.

01

Define goal and hypotheses

Define research goal, investigation areas, target groups and success criteria.

02

Configure the campaign

Create a guide or have one generated. Define privacy settings and invitation logic before launch.

03

Conduct AI-assisted interviews

Participants answer open questions in natural language. The system asks context-dependent questions and deepens relevant information.

04

Structure the results

Motives, causes, counterpositions and dependencies are automatically condensed and made visible in the dashboard.

05

Analyze and export

Prioritize patterns, export reports and add optional workshops or reviews if desired.

Email Interview · Example

A familiar channel.
A conversation with depth.

Participants respond directly by email. heyChange recognizes relevant information, asks specific questions and ends the conversation as soon as the statement is reliable.

Mail⌕   SearchOP
AnswerForward···
KAMPAGNE · PROCESS REALITY CHECK

Handovers in the ordering process

Operations · anonymized
h_
heyChangean Operations

Which handover in the ordering process costs you the most time in everyday life?

OP
Operationsan heyChange

Most of the time information from sales is missing. Then we clarify everything via Teams or Excel.

h_
heyChangeFollow-up 1 von 3

How do you recognize early on that information is missing?

OP
Operationsan heyChange

When orders come back or questions are asked multiple times.

h_
heyChangeFollow-up 2 von 3

Who solves the deviation today and where is it documented?

OP
Operationsan heyChange

That depends on the individual case. There is no fixed responsibility.

h_
heyChangeFollow-up 3 von 3

What would the handover noticeably improve for you?

OP
Operationsan heyChange

A common mandatory data set and a clear owner. It's good that we were able to go through this in a structured manner.

Conversation completedThe statement is reliable and was condensed anonymously.

From the statement to the management decision

Findings with understandable evidence.

Findings are traced back to anonymized initial signals and classified according to evidence strength, frequency and controversy. This allows decision-makers to understand which conclusions are strongly supported and where further clarification is needed.

More interview breadth - without proportionately more consulting days.

heyChange enables consultancies, system integrators and transformation teams to include significantly more perspectives in their diagnosis. Your methodology, customer relationship and interpretation remain yours. heyChange supports implementation, scaling and structured evaluation.

Start a partner campaign
  • 01The White Label Campaign
  • 02Use of your own hypotheses and methodologies
  • 03Raw data and results export
  • 04Greater interview coverage
  • 05Multilingual campaigns
  • 06Support with fixed price projects

Of conversations
to the management agenda.

The findings presented are based on an anonymized e-commerce pilot. Statements were condensed, roles and identifying details were removed.

Organization Discovery / HC-PILOT

E-Commerce Organization Discovery

Campaign windowCompleted · anonymized pilot
Response coverage85%
11 of 13 participants
Structured signals251
across 21 categories
Root-cause clusters10
consolidated from the evidence
Prioritized actions11
translated into a management agenda
Emerging themesClick for details
THEME 01Evidence strength: high

Fragile partner data creates recurring rework.

Several statements link schema changes, lack of ownership and silent data errors.

observation

Changes in external partner data repeatedly lead to manual rework and unnoticed data loss.

Root-Cause-Hypothese

There is a lack of clear ownership and a binding change process for central data pipelines.

Next step

Establish pipeline ownership, standardize schema changes, and automate drift alerts.

“It’s amazing what this campaign has made visible in such a short time and with so little effort.”

Paraphrased stakeholder feedback · Anonymized pilot

Known things confirmed.
Crucial discovered.

In an anonymized multilingual pilot, eleven open conversations revealed patterns that would otherwise have been difficult to achieve with such breadth and speed. These included well-known topics - and additional references to ownership gaps, knowledge dependencies and onboarding breaks that could be translated into prioritized measures.

  • Unknown causes: lack of pipeline ownership and distributed onboarding knowledge
  • Decision support: prioritized management agenda with eleven action areas
  • Effort: structured breadth instead of proportionally more individual interviews
11/13Reply · 85%10Cause clusters11Areas of action
Selected voicesTranslated appropriately and anonymized
Strategic direction

“We need clearer direction, or at least a clear shared understanding of it.”

Knowledge dependence

"When employees leave, documents, connections and access are left behind in personal profiles. Cleaning up takes time."

Onboarding & Documentation

"The handover appears structured. However, there is no common, reliable documentation for setup, environment and acceptance criteria."

Transformation Readiness Pilot

A focused campaign format for Organizational Discovery — configurable and ready to analyze within a few days.

Pilot scope

A reliable situation report in around ten business days.

Define goals and hypotheses, run AI-supported interviews, condense results and hand over a management report with executive readout.

View example report
  • 0140 to 80 participants
  • 02two to four functions
  • 03up to two languages
  • 04Goal and hypothesis workshop
  • 05AI-powered adaptive interviews
  • 06structured analysis in the dashboard
  • 07Managementreport
  • 0890-minütiges Executive Readout
  • 09Result within approximately ten business days

Ready for confidential transformation projects.

Before the start of a campaign, a confidentiality agreement or NDA, an order processing contract in accordance with Art. 28 GDPR and the necessary data protection and security documents can be agreed and concluded.

01

EU processing

Processing in a defined European infrastructure.

02

Anonymous handover

Identifying metadata and references in answers will be removed where possible. Results are transferred in aggregated form.

03

Defined deletion periods

After export and completion, campaign data will be deleted as agreed. No permanent employee profiles.

04

Documented process

The data flow of the campaign is coordinated with the customer before it starts. Support with data protection and works council audits is possible.

AI used transparently

EU AI Act · Transparency obligations

Participants are clearly informed that the interviews are supported by an AI system. The interactions will be designed in accordance with the applicable transparency obligations of the EU AI Act. The AI ​​supports surveys and analysis, but does not make individual personnel decisions or create permanent employee profiles. heyChange is not intended for performance evaluation, compensation, promotion, termination or other individual HR decisions. Human testing can be part of the quality of the results.

Employee data protection

Protection of participants

  • No individual performance or behavior evaluation.
  • Results are only segmented for sufficiently large groups.
  • Small groups are not evaluated separately if this would allow re-identification.
  • Rare roles, projects or specific events can also allow conclusions to be drawn in free texts; Therefore, anonymization is checked additionally.
  • After handover and expiry of the agreed deadlines, campaign data will be deleted.
  • The exact design will be determined with the customer before the campaign.

Qualitative interview depth — scalable like a survey.

Start your next campaign.

Pilot

Request a Transformation Readiness Scan

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