The pattern of adopting incremental changes that steer a business from its original strategy is clear in hindsight. But as anyone who has run a business understands, it’s difficult to establish this perspective when you’re in the middle of it.

One technique that can help is adopting a weighted feedback tool—a structured way to break feedback into discrete signals; weigh each on the strength of its evidence; and track how far, in total, they move you from your starting position.

This was designed for teams testing a prototype with stakeholders but is equally applicable to strategic reviews.

Before feedback collection:

• Write down your estimated likelihood that the solution you’ve developed will solve the challenge at hand and assign a confidence level to that number (i.e., + or – x%). Document your reasoning. This becomes your prior estimate.
• Calibrate the prior against what you’ve learned so far, adjusting by no more than + or – 2% and documenting your rationale. This becomes your calibrated prior estimate.

During feedback collection:

• Treat each stakeholder as starting from a neutral belief of 50% in your solution’s success. This becomes the reference point for their perspective.
• Score each feedback signal by the strength of its evidence, applying larger adjustments for strong evidence and smaller adjustments for weak evidence. Treat subjective reads such as tone and body language more conservatively than what is said outright.
• As scores approach the extremes, progressively reduce each adjustment to reflect diminishing returns, preventing scores from reaching 0% or 100%.

After each session:

• Revisit your calibrated prior alongside the stakeholder scores and adjust it according to the strength of the evidence: + or – 12% where evidence strength was high, + or – 5% where it was moderate, and + or – 1% where it was low. These adjustments are conservative to prevent a single session from producing disproportionate shifts. This becomes your posterior estimate.
• Cap the total adjustment at 20%. If the evidence keeps pushing beyond the cap, that’s not a scoring problem. It’s a signal that the solution, or the strategy behind it, needs to be re-examined.
• Based on the outcome, review your solution to determine what, if anything, ought to change.

A Practical Example:

Consider the innovation lab preparing for its annual review (described in the accompanying article, “Reframing Like a Fox: How Insurance Leaders Can Catch Strategic Drift Before It Compounds“). The team documents its prior estimate as 70% confident that the original model will reach its revenue milestones, with a confidence level of + or – 10%, along with the reasoning to support that view. First-year traction has been slower than planned, so the team calibrates downward by the maximum 2%, resulting in a calibrated prior of 68%.

Feedback is gathered from senior stakeholders as part of the review process and documented before being shared with the lab team. One senior executive points out in their feedback that the market is shifting toward platform-business model development (partnering to create platform-based InsurTech services) and queries whether the lab has developed anything here. They raise the point that the lab risks missing the opportunity entirely. If the disruptor model isn’t showing signs of progress, they suggest, it may warrant a shift in direction and investing more time in exploring building or partnering to realize a platform opportunity.

The team independently scores this point of feedback starting with the neutral 50% reference point. The executive’s statement is direct and unambiguous, making it high-strength evidence, and its direction is negative for the current model.

Following the session, the team adjusts their calibrated prior accordingly—by the corresponding -12%—giving a posterior estimate of 56%.

Critically, the team then works through every other point of feedback in the same manner. Each point of stakeholder feedback is treated as a distinct data point to be scored on its own evidence, rather than folded into a single holistic story (i.e., “the senior leadership team recommends a shift in direction”). Some points will move the estimate down, others up and many barely at all.

The conservative adjustment bands, together with the 20% cap, ensure that no single voice swings the estimate on its own.

This is the fox’s discipline applied to one specific arena: stakeholder feedback. Where the hedgehog hears a single story (“leadership wants a pivot”), the fox sees a constellation of individual signals, each weighted on its own evidence, and reads the pattern in their relationships.

Viewed this way, two things become visible in this example:

First, the original model still holds majority confidence. The platform suggestion is a signal to catalog and monitor, not a mandate to pivot.

Second, the cumulative adjustment already stands at 14% against the 20% cap. The moment accumulated feedback breaches that cap is the moment to deliberately re-examine the strategy itself, rather than trigger a course-correction.

Featured image: AI-generated (ChatGPT)