deliverymanagement

Why 70% of Software Projects Miss Their Deadlines

The data is clear: most software projects fail to deliver on time. But the reasons aren't what most teams think. Here's what actually goes wrong — and how to fix it.

Alvaro Burga ·

The Standish Group's CHAOS Report has tracked software project outcomes for decades. The numbers are consistently sobering: roughly 70% of software projects miss their deadlines, exceed their budgets, or fail to deliver the promised scope.

But here's what most teams get wrong: they blame the wrong things.

The Usual Suspects (That Aren't the Real Problem)

When a project fails, teams typically point to:

  • "The requirements kept changing"
  • "We didn't have enough developers"
  • "The technology was harder than expected"
  • "The client didn't know what they wanted"

These are symptoms, not causes. The root cause is almost always the same: a broken delivery system.

What a Broken Delivery System Looks Like

A delivery system is the set of processes, rituals, and feedback loops that turn work into shipped software. When it's broken, you see:

  1. No reliable cadence — Work happens in bursts, not in predictable cycles
  2. Invisible work — Nobody knows who's working on what, or what "done" means
  3. No risk management — Problems are discovered when it's too late to fix them
  4. Misaligned priorities — The team is busy, but not on the right things

The Fix: Predictable Delivery

The solution isn't working harder or hiring more people. It's building a delivery system that makes shipping predictable:

  • Sprint cadence that the team can actually sustain
  • Backlog hygiene that ensures the team always works on the highest-value items
  • Risk identification that catches problems early, when they're cheap to fix
  • Stakeholder visibility that builds trust through transparency

The goal isn't perfection — it's predictability. When you can consistently deliver what you promise, when you promise it, everything else gets easier.

Start Here

If your team is struggling with delivery, start with one question: "Can we predict what we'll ship next sprint?"

If the answer is no, you have a delivery problem. And it's fixable.

Book a free discovery call to discuss your specific challenges.

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