Building a DRL 7 Use Case: From Business Pain Point to Academic Validation

A structured five-month free voluntary programme to help stakeholders develop validated Data Readiness Level (DRL) 7 use cases, ready for academic publication and peer validation

Tuesdays, 5pm GMT

January - May 2026

Limited Places

This isn't a passive webinar series, it's a working programme. Each session builds on the last, guiding you from initial problem identification through to a fully documented use case that contributes to the growing evidence base for people data maturity.

What You'll Achieve

Deep understanding of the nine-level Data Readiness Levels framework and how to apply it diagnostically
A clearly articulated business pain point translated into formal use case documentation
Practical experience applying Total Data Quality Management (TDQM) principles to your specific context
A use case prepared to the standard required for academic submission and peer review
Connection to a cohort of practitioners working through the same challenges

This isn't a passive webinar series, it's a working programme. Each session builds on the last, guiding you from initial problem identification through to a fully documented use case that contributes to the growing evidence base for people data maturity.

Who Should Participate

People Analytics Leads

Academics & Researchers

Data Quality Specialists

Vendors

HR Technology Leads

Business Leaders

Workforce Intelligence Teams

Developers

AI Enablement Teams

This programme is for anyone with a specific data challenge they want to formalise, and the authority to develop it as a use case for the consortium's evidence base.

Programme Schedule

Phase 1: Solution/Use Case Development (Jan - Feb)

27 January: Webinar

Deep Dive: Data Readiness Levels (DRLs)

Technical exploration of the nine-level framework. Diagnostic exercises to assess where your organisation currently sits and identify a business pain point suitable for use case development.

3rd February: Working Party

Solution Refinement

Workshop session to refine your identified pain point, map it against DRL criteria, and begin structuring your use case documentation

Phase 2: Evaluation (Feb - March)

10th February: Webinar

Deep Dive: Total Data Quality Management (TDQM)

Applying the TDQM lifecycle to your use case. Understanding the roles of Data Consumer, Manufacturer, and Supplier stakeholders in your specific context.

17th February: Working Party

Prep Presentations

Guidance on preparing your use case for peer review. Structuring your documentation to meet academic standards.

24th February: Working Party

Presentations

Present your draft use case to the cohort. Receive structured feedback from peers and facilitators.

3rd March: Working Party

Evaluation

Detailed evaluation of submitted use cases against DRL 7 criteria. Identify gaps and areas requiring further development.

10th March: Working Party

Final Approval

Review revised use cases. Confirm readiness for matching phase or identify additional work required.

24th March: Working Party

Matching Workshop

Match use case providers with organisational partners who will provide evidence for the use case. Plan the validation phase approach

Phase 3: Matching (April)

31st March: Working Party

Iteration

Refine use cases based on organisational partner feedback. Address methodological questions and strengthen evidence frameworks

7th April Working Party

Finalisation

Complete use case documentation to submission-ready standard.

14th April: Working Party

Use Case Planning

Develop implementation and validation timelines. Establish success metrics and review milestones

21st April: Working Party

Handover

Formal transition to validation phase. Confirm roles, responsibilities, and communication protocols between use case providers and organisational partners

Phase 4: Validation (May Onwards)

May onwards: Weekly Working Parties

Collaborative Validation

Use case providers and their matched organisational partners generate the evidence required for academic paper submission. Findings shared through consortium publications and events

What’s Expected

This is a commitment-based programme

Attend sessions consistently throughout the five-month programme
Complete inter-session work including documentation, diagnostics, and revisions
Bring a genuine business pain point you have authority to develop as a use case
Be willing to share your use case with the cohort for peer learning
Contribute your validated use case to the consortium's evidence base

Register Your Interest

Places are limited to ensure meaningful discussion and individual attention. We'll be in touch with a Teams invite to the sessions, programme materials and next steps.

Register Here