Explicit Decision Criteria: The Criteria That Make a Difficult Recommendation Defensible
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A recommendation can sound confident and still be built on invisible rules. One stakeholder says the best option is the one with the lowest implementation burden. Another quietly prioritizes adaptability. A third cares most about adoption, but nobody has defined what “adoption” means or what evidence would prove it. By the time the consultant presents a recommendation, the room is not debating the options. It is debating several private definitions of success. That is the real value of explicit…
1Key Takeaways
- A recommendation can sound confident and still be built on invisible rules.
- One stakeholder says the best option is the one with the lowest implementation burden.
- Another quietly prioritizes adaptability.
- A third cares most about adoption, but nobody has defined what “adoption” means or what evidence would prove it.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that a recommendation can sound confident and still be built on invisible rules.
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