Prioritization
Prioritization mistakes that quietly skew your roadmap
The worst prioritization errors don't announce themselves — they hide inside a process that looks rigorous. Here are the ones that do the most damage.
A bad prioritization process usually doesn't look bad. It has a framework, a spreadsheet, scores. The errors live inside that apparatus, which is what makes them dangerous — they wear the costume of rigor. Here are the ones that quietly bend roadmaps the wrong way.
False precision
A RICE score of 4,000 and one of 3,800 are a tie. The inputs were estimates; the output inherits that uncertainty. Treating small score gaps as real rankings hands decisions to rounding error. Use scores to separate the clearly-worth-it from the clearly-not, and use judgment in the muddy middle.
Recency bias
The request that came in this morning feels more urgent than the one from six weeks ago, purely because it's fresh. A good process scores the new item on the same scale as everything else before it jumps the queue. If it genuinely outranks the current top, great — but make it earn the spot.
Leaving out support and sales
Product managers tend to prioritize from their own vantage point and forget the two teams closest to the customer's pain and the company's revenue. Support knows which gaps generate tickets; sales knows what loses deals. Excluding them doesn't just miss data — it produces confident rankings built on a partial view.
Building feature-parity from fear
Reacting to every competitor move by matching it is a way to let rivals set your roadmap. Some parity is necessary; chasing all of it means you never differentiate. Run competitive gaps through the same prioritization as everything else rather than auto-promoting them.
Over-prioritizing
The opposite failure: bringing RICE to a two-item, easily-reversible decision. The overhead costs more than the mistake you're preventing. Match the weight of the framework to the weight of the decision — most calls deserve a fast method, and only the big, visible, hard-to-reverse ones deserve the full apparatus.
- False precision: treating a 4,000 vs 3,800 RICE gap as meaningful when it's a tie.
- Recency bias: the newest request always feels most urgent — score it like the rest.
- Excluding support and sales, who hold the signal you're missing.
- Over-prioritizing: heavy frameworks on tiny, reversible decisions.
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