Introducing a Purpose-Built Diversity Data Collection Workflow in Nucleus
Project Overview
As Product Manager for BAFTA's Nucleus platform, I led the diversity workflow redesign that eliminated publication bottlenecks and reduced reporting timeframes from weeks to days whilst supporting BAFTA's commitment to BFI Television Diversity Standards compliance. When BAFTA adopted mandatory diversity data collection in 2020, the additional validation requirements created operational bottlenecks that delayed content publication and increased administrative overhead for both the Awards and LIT (Learning, Inclusion & Talent) teams.
My key strategic decision was separating diversity data collection from the main entry workflow through automated entry progression rather than building complex dual-approval processes within existing forms. This architectural choice enabled parallel processing — video content could be published immediately whilst diversity data underwent separate validation — eliminating the publication delays that had shortened member review periods on BAFTA View.
Working with the development team, I designed automated status transitions based on structured form dependencies that reduced manual validation work whilst improving data quality through consistent categorisation. The new workflow launched for the 2025 Television Awards in September 2024, enabling faster content publication and delivering diversity insights within days rather than weeks whilst establishing the foundation for enhanced reporting capabilities that support BAFTA's long-term inclusion objectives.
Project Background
BAFTA's adoption of BFI Television Diversity Standards as mandatory entry criteria created significant operational challenges that were constraining the entire Television Awards workflow. The diversity data requirements, covering representation across multiple categories including gender, ethnicity, disability, social background, and LGBTQ+ identity, substantially increased the complexity and volume of information requiring validation before entry approval.
Under the existing process, all entry data had to be fully approved before content could be published to BAFTA View, BAFTA's VOD platform where members review submissions. This created a critical bottleneck: diversity data validation delays were preventing timely video publication, shortening the review period available to members and creating pressure throughout the awards timeline. The Awards team found themselves responsible for validating complex diversity information whilst the LIT team, who had expertise in this area, lacked direct access to the data embedded within entry forms.
The reporting challenges compounded operational difficulties. Diversity data was captured through free-text fields that made analysis time-intensive and limited the ability to generate insights quickly. Manual spreadsheet processes were consuming significant staff time whilst delivering limited visibility into compliance trends, category-level analysis, or broadcaster comparisons that stakeholders required for strategic decision-making. By August 2023, it became clear that the 2024 awards season would require a systematic solution to prevent these bottlenecks from compromising the awards process.
Project Objectives
Eliminate Content Publication Bottlenecks
Remove diversity data validation as a barrier to video publishing, enabling immediate content availability on BAFTA View whilst diversity approval processes operated in parallel, preserving member review time critical to awards integrity.
Reduce Cross-Team Administrative Overhead
Design separate workflows enabling the Awards and LIT teams to operate independently on their respective expertise areas, eliminating the coordination complexity that was consuming staff resources and creating approval delays.
Accelerate Strategic Reporting and Decision-Making
Transform diversity data collection from free-text to structured responses that could generate insights within days rather than weeks, supporting timely stakeholder communication and strategic inclusion planning.
Implement Scalable Automation Architecture
Create automated entry progression and status management that reduced manual intervention whilst maintaining data integrity, establishing a foundation that could support future workflow enhancements across other award categories.
Improve Data Quality Through Structured Collection
Replace inconsistent free-text responses with dependency-driven forms that automatically assessed compliance, reducing validation overhead whilst ensuring consistent categorisation for accurate analysis and reporting.
Establish Platform-Wide Process Improvements
Introduce the "Unsuccessful" entry status and automated progression capabilities that could benefit other awards programmes and external clients, maximising the strategic value of development investment beyond the immediate diversity workflow requirements.
Development Process
Strategic Analysis & Stakeholder Alignment
Identifying operational bottlenecks and securing agreement on workflow separation.
Problem Analysis & Documentation
Conducted comprehensive stakeholder interviews with Awards and LIT teams to map existing bottlenecks and quantify the operational overhead created by diversity data validation requirements.
Workflow Separation Strategy
Proposed separating diversity data from main entry forms through automated progression, presenting the business case for parallel processing that would eliminate publication delays.
Cross-Team Requirements Gathering
Aligned requirements across Awards, LIT, and technical teams to ensure the separated workflow would meet operational needs whilst maintaining data integrity and compliance standards.
Automated Architecture Design & Form Development
Designing structured data collection and automated progression workflows.
Form Architecture & Dependency Logic
Designed structured diversity forms using Nucleus's dependency functionality to automate compliance assessment, reducing the manual validation workload whilst improving data consistency.
Entry Progression Automation
Specified automated entry cloning and progression triggered by submission status, enabling seamless workflow separation without requiring manual administrative intervention for each entry.
Status Enhancement & Platform Improvements
Introduced the "Unsuccessful" entry status to provide clear categorisation for entries not meeting diversity standards, improving workflow clarity whilst creating capabilities valuable for other awards programmes.
Development Coordination & Quality Assurance
Technical implementation and comprehensive testing across award scenarios.
Technical Development Oversight
Coordinated with the lead developer to implement automated workflows, form dependencies, and entry progression logic whilst ensuring integration with existing Nucleus architecture.
Workflow Testing & Validation
Conducted comprehensive testing across different entry types and diversity scenarios to ensure automation worked reliably whilst maintaining the flexibility required for complex award categories.
Stakeholder Validation & Training
Delivered training sessions for both Awards and LIT teams whilst incorporating feedback to refine workflows based on real-world operational requirements.
Launch Management & Continuous Improvement
Deploying for live awards season and establishing feedback loops.
Awards Season Launch
Coordinated the September 2024 launch for the 2025 Television Awards, monitoring system performance and providing real-time support during the critical entry period.
Performance Monitoring & Optimisation
Tracked workflow performance and gathered user feedback to identify optimisation opportunities whilst documenting lessons learned for future awards programmes.
Strategic Enhancement Planning
Established feedback collection processes and planned continuous improvements based on awards team experience and evolving diversity reporting requirements.
Key Features and Innovations
The diversity workflow redesign focused on delivering operational efficiency through intelligent automation rather than building complex approval systems. Working closely with the development team, I prioritised architectural decisions that would eliminate bottlenecks whilst improving data quality:
Automated Entry Separation and Progression
My decision to separate diversity data collection through automated entry progression enabled parallel processing that eliminated publication bottlenecks. Rather than building complex dual-approval workflows within existing forms, entries automatically progressed to separate diversity forms upon submission, enabling immediate video publishing whilst diversity validation operated independently.
Structured Data Architecture with Automated Assessment
I redesigned diversity data collection from free-text to structured dependencies that automatically determined compliance status. Working with the LIT team to define assessment criteria, this approach reduced manual validation workload whilst ensuring consistent categorisation that improved both operational efficiency and reporting accuracy.
"Unsuccessful" Entry Status Innovation
I introduced the "Unsuccessful" status to provide clear categorisation for entries not meeting diversity standards, eliminating the ambiguity that had created workflow confusion. This enhancement proved valuable beyond diversity workflows, becoming adopted across other awards programmes and external clients for various eligibility scenarios.
Category-Based Entry Filtering
Using Nucleus's category functionality, I implemented intelligent filtering that ensured diversity data was only collected for relevant entry types. This prevented unnecessary administrative overhead whilst maintaining compliance focus on entries where diversity standards applied, streamlining operations for both entrants and administrators.
Real-Time Workflow Transparency
I specified clear status indicators and automated notifications that provided visibility into diversity approval progress without requiring constant manual communication between teams. This transparency improved coordination whilst reducing the administrative overhead that had been consuming staff resources during previous awards seasons.
Cross-Team Independence Architecture
The separated workflows enabled Awards and LIT teams to operate independently within their expertise areas, eliminating the coordination bottlenecks that had created approval delays. Each team could focus on their respective validation requirements without waiting for the other's approval, dramatically improving operational efficiency.
Platform-Wide Automation Foundation
The automated progression capabilities I specified established foundation functionality that could support future workflow enhancements across other award categories and client requirements, maximising the strategic value of development investment beyond the immediate diversity workflow needs.
Challenges and Solutions
Designing Workflow Separation Without Compromising Data Integrity
The challenge was enabling parallel processing whilst ensuring diversity data remained linked to the correct entries and maintained accuracy throughout automated progression. Entrants needed clear guidance about the separated workflow without creating confusion about submission requirements or status tracking.
Working with the development team, I designed automated entry progression that maintained data linkage through Nucleus's category and progression functionality, ensuring seamless handoffs between workflows whilst providing clear status indicators that guided entrants through both submission and diversity data collection phases.
Balancing Automation with Flexibility for Complex Award Categories
Television Awards include diverse entry types with varying diversity requirements — some categories required full diversity data whilst others needed limited information or exemptions entirely. The automated system needed to handle these variations without creating operational complexity or requiring manual intervention for each scenario.
I leveraged Nucleus's category filtering to create intelligent routing that automatically applied diversity requirements based on entry type, ensuring compliance focus remained on relevant entries whilst eliminating unnecessary administrative overhead for exempted categories.
Managing Stakeholder Expectations Through Extended Development Timeline
Initial stakeholder discussions began in August 2023 for the 2024 awards season, but stakeholder response delays meant development couldn't commence until February 2024, pushing implementation to the 2025 awards cycle. This created pressure to deliver comprehensive functionality within a compressed timeline whilst ensuring thorough testing and stakeholder validation.
I managed expectations by focusing on core functionality that would deliver immediate operational benefits whilst establishing architecture for future enhancements, ensuring the September 2024 launch met critical requirements whilst creating the foundation for ongoing workflow improvements.
Conclusion
The Television Awards diversity workflow redesign demonstrates how strategic architectural decisions can transform operational constraints into systematic efficiencies whilst supporting organisational mission objectives. By choosing workflow separation over complex dual-approval systems, we eliminated the publication bottlenecks that had been compromising awards timelines whilst establishing automated progression capabilities that continue to benefit other programmes.
The project's success came from recognising that the solution required operational redesign rather than process optimisation. Rather than trying to improve existing workflows, I proposed fundamental separation that enabled parallel processing — allowing video content to reach members immediately whilst diversity validation operated independently. This architectural approach delivered both immediate operational improvements and the platform enhancements that continue to support broader awards management efficiency.
Working with stakeholders and the development team, we proved that complex compliance requirements could be integrated without compromising operational effectiveness. The automated progression functionality, structured data collection, and "Unsuccessful" status capabilities established through this project now support workflow improvements across multiple award categories and external clients, demonstrating how solving specific problems can create systematic platform value.
This project reinforced my conviction that successful product management requires understanding when operational problems demand architectural solutions rather than process improvements. The continued adoption of capabilities developed for the diversity workflow — automated progression, enhanced status management, structured data collection — across other programmes validates the strategic approach of building solutions that solve immediate needs whilst creating lasting platform value.
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