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Why Prioritization Frameworks Fail (And What to Do Instead)

3 MINS

# Why Prioritization Frameworks Fail (And What to Do Instead)

Most prioritization frameworks fail—and it's not because you used them wrong.

RICE, MoSCoW, Effort vs. Impactthey all work perfectly in a vacuum. The problem? Product work doesn't live in a vacuum.

The Reality Check

Here's what I've learned building in Fintech: the moment you finalize your "perfect" priority list, three things show up to wreck it:

A compliance deadline that can't move. Regulators don't care about your sprint plan.
A high-value client's last-minute feature demand. Revenue talks, and sometimes it talks loudly.
A dependency you didn't know existed. That API you assumed was ready? It's not. Your beautiful prioritized backlog meets reality, and reality wins.

4. Trade-off Log

The shift that changed everything for me: I stopped treating frameworks as decision engines and started using them as decision anchors.

Here's my process now:

Get the structured scorecard. Run the RICE calculation. Plot the effort-impact matrix. This creates a defensible starting point.

Layer in what frameworks can't capture: regulatory risk, market timing windows, retention impact, political capital. These factors often outweigh raw scores.

Keep approximately 20% of sprint capacity unallocated. Surprises are guaranteed; capacity to handle them shouldn't be.

Document what you dropped and why. When stakeholders revisit decisions (and they will), short debates beat long memory battles.

The Results

This approach kept launches on track across multiple regulated markets. Teams didn't burn out. Stakeholders stayed aligned. The inevitable surprises got absorbed without derailing everything else.

The Takeaway

Frameworks create clarity. Flexibility creates survival.

The textbook priority list will blow up. That's not failurethat's reality. The question is whether you've built a system that adapts or one that breaks.

When your perfect plan falls apart, what's your first move?

Background

Almas skipped presentations and built real AI products.

Almas Ali was part of the August 2025 cohort at Curious PM, alongside 15 other talented participants.