In a recent episode of the Manufacturing Executive Podcast, Radhika Dutt challenged a deeply held belief in the business world: that traditional goal-setting frameworks like OKRs, KPIs, and SMART goals are the surest path to progress and performance. Instead, she argues, an excessive focus on metrics and targets can actually backfire, stifling creativity and encouraging “performance theater” over genuine improvement.
Dutt, the author of “Radical Product Thinking” and a veteran of five startup acquisitions, proposes an alternative approach rooted in curiosity and learning. Her OHL framework — which stands for Objectives, Hypotheses, and Learnings — offers a structured way to tackle complex problems, whether on the factory floor or in the executive suite.
In manufacturing, there’s a huge cost to doing that, right? You can’t just like throw things at the wall and see what sticks and, you know, keep disrupting just for the sake of that.
As Dutt points out, most resources on product development and experimentation are geared toward software, where the cost of iterating is relatively low. In manufacturing, by contrast, “fail fast” is a tougher sell. Changing physical processes and setups carries real financial risks. The OHL framework aims to bring the benefits of agile thinking to these hard tech environments, but in a more deliberate way.
Here’s how it works: instead of starting with a specific numeric target, define a clear, inspiring Objective — the ultimate “why” behind your efforts. Then, formulate Hypotheses about what actions might lead to that objective. Test those hypotheses in the real world, gather Learnings about what actually happened, and feed those insights into the next round of hypotheses. The objective itself can evolve as you discover more.
Dutt shared an example of how this might play out in a manufacturing setting. Say your objective is to reduce the defect rate on a particular product line. Your hypotheses might involve changes to worker training, QA processes, machine calibration, and so on. By rigorously testing each hypothesis and assessing the results, you can zero in on the real drivers of improvement — not just hit an arbitrary number.
Research shows that the more someone feels judged, the less open they are to your feedback… What you see in this OHL’s approach of puzzle solving is, you know, rather than constantly make someone feel judged, it really feels like we’re in this together, you and I solving this puzzle.
Beyond driving better problem-solving, Dutt sees the OHL framework as a powerful tool for developing talent. Traditional performance reviews, with their focus on rating and ranking, often trigger defensiveness. Constant judgment makes people less receptive to feedback. OHL reframes development as a collaborative puzzle-solving exercise: How well is our approach working? What have we learned? What will we try next? This creates a context for constructive feedback and direction, shifting the focus from evaluation to growth.
To help manufacturing leaders put these ideas into practice, Dutt offers a free OHL template on her website, radicalproduct.com. She invites listeners to share their stories of using the framework, which may be featured as case studies in her forthcoming second book on why goals and targets often backfire — and what to do instead.
In an era of rapid change and rising complexity, manufacturers need every tool they can get to stay competitive. The OHL framework provides a structured way to surface new solutions, test risky ideas safely, and keep learning at the cutting edge. By rethinking goals — and redefining how we pursue them — manufacturing leaders can unlock their teams’ full creative potential.
