Objectives, Hypotheses, Learnings: Smarter Problem Solving for Complex Manufacturing w/ Radhika Dutt

What this episode covers

Radhika Dutt, author of 'Radical Product Thinking' and advisor to the Monetary Authority of Singapore, argues that traditional goal-setting frameworks like OKRs and KPIs often backfire in complex manufacturing environments by encouraging 'performance theater' rather than genuine problem-solving. She introduces an alternative framework called Objectives, Hypotheses, and Learnings (OHLs), which reframes challenges as puzzles to be solved, fostering deeper collaboration and learning. Dutt illustrates this with examples from robotics throughput optimization and candy manufacturing, showing how focusing on targets can lead to quality issues or wasted effort, whereas puzzle-solving drives better outcomes.