Build a DRL 7 Use Case: Advancing People Data Maturity as the Foundation for Predictive People Analytics and AI Success

We invite forward thinking individuals and organisations to collaborate in a groundbreaking validation study that transforms theoretical frameworks into proven implementation pathways. Through building out Use Cases against the Data Maturity Matters Toolbox, selected participants will design and test solutions against three of the Ten Root Conditions enabling transition to DRL 7, with embedded  DPM protocols, and TDQM methodologies. This is a unique opportunity to join our community working to establish evidence-based competitive positioning through validated solution effectiveness while contributing to rigorous academic research that advances industry-wide understanding of how people data maturity serves as the critical foundation for Predictive People Analytics and AI success.

Build a DRL 7 use case with us and position yourself at the forefront of the data maturity revolution that enables robust Predictive People Analytics and AI excellence.

How It Works: Solution-Led Validation in Action

Our validation methodology centres on a collaborative ecosystem where solution providers become the primary architects of transformation. As a technology vendor, policy maker, developer, or academic, you'll propose integrated solutions that systematically address three complementary root conditions from our Ten Root Conditions framework. Rather than organisations struggling with comprehensive transformation independently, they partner with you to implement your pre-designed solutions that embed proven Data Product Manager (DPM) coordination protocols and Total Data Quality Management (TDQM) methodologies.

This approach augments the traditional consulting model by positioning you as the expert architect of targeted interventions that address specific root condition combinations. Participating organisations benefit from selecting validated solutions that systematically progress them along the Data Readiness Level (DRL) scale, while you gain rigorous evidence of your solution's effectiveness in transforming people data from operational byproducts to strategic Information-as-a-Product assets.

By leveraging expertise across our entire stakeholder ecosystem, this solution-led validation approach accelerates people data infrastructure transformation whilst generating robust academic evidence. The methodology balances rigorous research standards with practical implementation requirements, creating measurable value for solution providers and participating organisations alike, whilst advancing the field's understanding of systematic data maturity progression pathways to AI readiness.

Solution Provider Framework

Vendor-Led Solutions

Technology vendors will design integrated platforms addressing three identified complementary root conditions:

Example Configuration: Unified Intelligence Platform

  • Root Condition 1: Multiple Data Sources

  • Root Condition 5: Diverse Coding Systems

  • Root Condition 10: System Integration

Embedded Methodology:

  • DPM protocols for cross-system coordination

  • TDQM quality management at data interfaces

  • Pre-configured assessment instruments for DRL measurement

Academic-Led Solutions

Research institutions develop evidence-based methodologies targeting theoretically significant condition combinations:

Example Configuration: Bias Elimination Framework

  • Root Condition 2: Subjective Judgement

  • Root Condition 6: Complex Data

  • Root Condition 8: Data Input Standards

Embedded Methodology:

  • Standardised assessment protocols replacing subjective evaluation

  • Structured qualitative data collection instruments

  • TDQM-based validation at point of entry

Developer-Led Solutions

Open-source communities create modular solutions for technical root conditions:

Example Configuration: AI-Ready Infrastructure Stack

  • Root Condition 3: Resource Limitations

  • Root Condition 7: Data Volume and Processing

  • Root Condition 9: Evolving Requirements

Embedded Methodology:

  • Scalable architecture patterns for DRL 7

  • Automated TDQM monitoring systems

  • DPM workflow orchestration tools

Policy Maker-Led Solutions

Regulatory bodies propose compliance frameworks addressing governance-critical conditions:

Example Configuration: Privacy-Preserving Analytics Framework

  • Root Condition 4: Security vs Accessibility

  • Root Condition 8: Data Input Standards

  • Root Condition 10: System Integration

Embedded Methodology:

  • Risk-based access control aligned with DPM responsibilities

  • Compliance-oriented TDQM protocols

  • Regulatory-approved DRL progression pathways

Validation Methodology

Solution Design Phase

Solution providers develop comprehensive packages including:

Technical Components:

  • Software, frameworks, or methodologies addressing three root conditions

  • Integration patterns connecting to existing systems

  • Performance benchmarks and scalability parameters

DPM Implementation Protocols:

  • Role definitions and responsibility matrices

  • Coordination workflows across stakeholders

  • Decision rights and escalation procedures

TDQM Quality Framework:

  • Quality standards for each addressed condition

  • Continuous improvement processes

Organisation Use Cases Engagment

Participating organisations selected based on:

  • Presence of targeted root conditions

  • Current DRL level (typically 5-6)

  • Commitment to 6-week implementation

  • Willingness to share anonymised results

Implementation Protocol

Weeks 1-2: Baseline and Preparation

  • Assess current state using solution provider's instruments/solution

  • Establish baseline DRL level

  • Refine solution against organisational context

  • Establish DPM roles and TDQM processes

Weeks 3-4: Solution Deployment

  • Implement technical components

  • Activate DPM coordination protocols

  • Deploy TDQM quality management

  • Begin data collection for analysis

Weeks 5-6: Validation and Measurement

  • Measure DRL progression

  • Assess root condition improvements

  • Calculate ROI metrics

  • Document implementation challenges

Evidence Structure

DRL Progression Metrics

Quantitative Indicators:

  • Movement from baseline DRL to post-implementation level

  • Percentage improvement in each addressed root condition

  • Time-to-insight reduction

  • Data quality scores using TDQM metrics

  • Analytics capability maturity assessment

Root Condition Resolution Evidence

For each of three targeted conditions:

  • Baseline pain point severity (1-10 scale)

  • Post-implementation improvement percentage

  • Specific capability enhancements achieved

  • Sustainability indicators

DPM Effectiveness Measures

  • Coordination efficiency across stakeholder groups

  • Decision-making speed improvements

  • Conflict resolution effectiveness

  • Stakeholder satisfaction scores

TDQM Impact Assessment

  • Quality improvement trends

  • Error rate reduction

  • Compliance achievement

  • Process standardisation metrics

Comparative Analysis Framework

Cross-Solution Comparison

Analysis comparing effectiveness of different solution types:

  • Vendor vs Academic vs Developer vs Policy-led approaches

  • Technical vs Process vs Governance focus

  • Different root condition combinations

  • Implementation complexity vs Impact achieved

Organisational Context Factors

  • Industry sector influences

  • Organisation size effects

  • Starting DRL level impact

  • Cultural readiness indicators

Results Presentation Structure

Solution Provider Evidence Portfolio

Each solution provider documents:

  • Theoretical rationale for addressing selected three conditions

  • Implementation methodology details

  • Aggregate results across all participating organisations

  • Success factors and implementation challenges

Organisation Case Studies

Participating organisations contribute:

  • Baseline to end-state journey narrative

  • Specific improvements in analytics capabilities

  • ROI calculations and business impact

  • Lessons learned and recommendations

Meta-Analysis Findings

  • Most effective root condition combinations

  • Critical success factors for DRL progression

  • DPM implementation patterns

  • TDQM effectiveness in different contexts

Validation Criteria

Solution Success Metrics

Solutions considered validated when participating organisations demonstrate:

  • Minimum 1-level DRL progression

  • 40% improvement in targeted root conditions

  • Successful DPM protocol implementation

  • TDQM processes operational and sustained

  • Positive ROI within 6 months projected

Research Quality Standards

  • Minimum 3 organisations per solution validation

  • Independent verification of results

  • Data Maturity Matters Committee review of methodology

  • Transparent reporting of failures and challenges

Theoretical Contributions

This solution-led approach contributes to:

  • Information Product theory validation in applied contexts

  • TDQM framework extension to people data

  • Multi-stakeholder coordination theory

  • Technology adoption and change management literature

Practical Implications

For Solution Providers

  • Evidence-based validation of solution effectiveness

  • Clear market positioning against root conditions

  • Demonstrated ROI

  • Certification pathway for DRL 7 enablement

For Organisations

  • De-risked transformation through validated solutions

  • Accelerated DRL progression via proven methodologies

  • Access to embedded DPM and TDQM expertise

  • Peer learning from similar implementations

For the Field

  • Repository of validated solution patterns

  • Evidence base for standards development

  • Acceleration of industry-wide maturity

  • Knowledge transfer across stakeholder groups