Episode Overview
Podcast: Scrum Master Toolbox Podcast
Episode Title: When Consensus Becomes Paralysis—The Nemawashi Challenge For Agile Software Development
Host: Vasco Duarte
Guest: Terry Haayema
Date: September 24, 2025
This episode dives into a unique challenge faced by Agile coaches: when the pursuit of consensus—especially in organizations steeped in consensus-driven cultures like the Japanese concept of Nemawashi—can actually stall progress, paralyze teams, and degrade quality. Terry Haayema joins Vasco Duarte to share real-life experiences in a Japanese financial services company, exploring how overemphasis on consensus can lead to unclear outcomes, lack of feedback, and ineffective software delivery.
Key Discussion Points & Insights
1. The Paradox of Too Much Consensus
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Nemawashi—the Japanese practice of consensus building—can inadvertently lead to "decision paralysis" when overdone.
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Terry observes that despite good intentions and great people, the organization often suffers from unclear outcomes and a lack of effective delivery due to perpetual consensus-seeking ([02:31]).
Terry Hyayema [02:31]:
"The problem is too much consensus... It's just kind of bouncing around between people. We're never really getting it going because we can never quite get to a point where everyone has agreed."
2. Outcome Clarity vs. Task Delivery
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Decisions come from leadership, but aren't detailed clearly enough for implementation, leading to misalignment and unmet expectations.
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There's a tendency for teams to focus on task completion ("delivery") over achieving the intended outcomes ([05:12]-[06:56]).
Vasco [05:19]:
“When it comes to software, we don’t really know what’s possible until we start doing something... Do you feel that this move towards Nemawashi... has hindered the teams from being able to explore the potential based on what’s being asked and has focused them more on the delivery, meaning the tasks to be done, the requirements to be fulfilled instead?”
Terry [06:56]:
“Yes, I do. That’s actually a very good way to put it. So the focus is on the delivery of tasks and what I’d really like to do is to shorten the feedback loop…”
3. The Importance of Feedback Loops
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Language is a "lossy medium": requirements often lose specificity or intent when passed from leaders to teams.
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Terry recounts a pivotal moment from the '90s, highlighting the risks of misaligned expectations ([06:56]-[08:42]).
Terry [07:38]:
“I know it’s what I said, but it’s not what I meant. And how do we actually know what people mean unless we can show them something small...” -
Vasco emphasizes the need for what he calls the "error correction loop"—implementing continuous, practical feedback rather than assuming up-front consensus ensures clarity ([08:42]).
4. Practical Experiments & Culture Change
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Terry and his teams are starting a new initiative: instead of fleshing out every story or requirement beforehand, they're intentionally delaying detail refinement to allow for ongoing dialogue and negotiation of understanding ([10:57]-[12:14]).
Terry [11:14]:
“We’re literally starting in a couple of weeks time... So the... initiative won’t be done for a while. The only thing we're really sacrificing is a fake certainty that we’ll know when we’re finished.”Vasco [12:14]:
“There’s a temptation to let’s first agree on what we want to do and then start doing it... but in software development it’s much more effective... to agree on the general direction and then establish these shorter feedback loops that cross the whole chain.”
5. Certainty is an Illusion in Complex Work
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Over-investing in up-front clarity can provide a false sense of certainty and prevent necessary course correction.
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Terry and Vasco stress that course correction is not failure—it's essential adaptation in complexity ([13:02]-[14:20]).
Terry [13:02]:
“All we really need to get started is a good idea of the outcome and some creative people... The only thing we're really sacrificing is a fake certainty that we'll know when we're finished.”
6. The Pilot Metaphor: Real-Time Feedback
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Terry likens effective software delivery to piloting a plane: constant minor adjustments based on real-time feedback keep you on course ([14:20]).
Terry [14:20]:
“If we are one degree off course, we don’t stick to our plan and just allow the wind to blow us further and further off course. A pilot has an array of instruments giving them feedback second by second...”
Memorable Quotes & Moments
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“I know it’s what I said, but it’s not what I meant.”
[Terry Hyayema, 07:38]
—A classic warning against relying solely on written requirements. -
“The only thing we're really sacrificing is a fake certainty that we'll know when we're finished.”
[Terry Hyayema, 13:02]
—Calls out the illusion of predictability in complex projects. -
“It’s very important to accept that we’re always going in the wrong direction—and therefore, we always need to have feedback loops in place.”
[Vasco, 14:05]
—Underscores the humility required in Agile leadership. -
“If we are one degree off course, we adjust... Pilots get lots of feedback and they respond to it.”
[Terry Hyayema, 14:20]
—The feedback loop as a matter of course-correction, not failure.
Key Segment Timestamps
- [02:31] – Terry introduces the problem: too much consensus and lack of clarity.
- [06:56] – Shift from outcome focus to task delivery; the pitfalls of requirements hand-off.
- [08:42] – Vasco and Terry discuss language as a “lossy medium” and necessity of error correction through feedback.
- [10:57] – Terry outlines their upcoming experiment: delayed refinement for better feedback and understanding.
- [13:02] – The myth of requirement certainty vs. the necessity of emergent discovery.
- [14:20] – Terry shares the pilot analogy for course correction and real-time feedback.
Summary
This episode is a must-listen for Agile coaches and Scrum Masters working in consensus-driven or highly collaborative cultures. Terry Haayema's experiences highlight that too much consensus can lead to paralysis, lack of clarity, and task-based rather than outcome-driven delivery. Vasco and Terry offer practical advice: build small feedback loops early, sacrifice false certainty for real learning, and embrace course correction as a constant. All this is underscored by memorable metaphors and candid storytelling, making it easy to apply these insights to your own Agile practice.
