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Priscilla Christopher leads strategy and business operations for Boeing’s Information Digital Technology & Security organization. In this live, fireside conversation at WorkBoard's Accelerate 2025 Conference, Priscilla explores Boeing’s multi-year transformation to a product operating model, how the organization embeds outcome-based OKRs into its existing operating cadence, and how WorkBoardAI—especially transparency, rollups, and AI capabilities—drives alignment, visibility, accountability, and decision-making at scale.
The Challenge
- Hard to sustain “why” and strategic intent in long programs:
Teams could get buried in years-long execution and lose sight of what they were ultimately trying to achieve.
- Too much manual effort to understand OKR status across the organization:
Visibility existed, but leaders had to sift through large volumes of information (heavy scrolling, lots of colors/data) to understand what teams were doing, where they were struggling, and why.
- Steep learning curve and training burden with the prior OKR approach/tooling:
Getting people proficient required significant training and time investment before they could effectively use the system.
- Misalignment surfaced across levels once transparency increased:
Early transparency could reveal gaps between executive priorities, manager priorities, and team-member priorities—requiring an intentional mechanism to connect work across levels and address gaps quickly.
The WorkBoardAI Solution
- End-to-end strategy-to-execution linkage:
Boeing could directly connect product-team outcomes to organizational strategy using features like rollups, creating clear correlation between delivery and leadership outcomes.
- Faster, clearer insight for decision-making:
Multiple views (scorecards, heat maps, OKR boards/reviews, relationship maps) plus AI briefings made it easier to spot risks, progress, and opportunities quickly—supporting faster decisions.
- Rapid adoption through an intuitive user experience:
Teams were able to learn navigation in roughly 10–15 minutes and be “off and running” from day one, despite the complexity and volume of data involved.
- Improved execution accountability and more productive performance conversations:
Executive ownership was established for parent-level outcomes, and AI coaching helped deliver feedback in a way people could receive—shifting conversations toward factual, outcome-based discussions rather than emotion.
Conclusion
By using WorkBoardAI (notably AI briefings and AI-generated summaries), Boeing reduced the time spent researching and synthesizing information for monthly reviews, accelerated identification of risks and improvement areas, and enabled faster decision-making by proactively surfacing answers. WorkBoardAI supported more consistent recognition of wins and helped leaders prepare for and conduct more constructive, data-grounded coaching and performance conversations.
