Why 75% of change programs fail, and what to do instead (Part 1)

75% of change programs fail.

Most organisations do not need another centrally designed change program.

They need a system that makes it normal to evolve practices, learn fast, and remove constraints, until better work becomes the default.

That failure number is so high for a simple reason: many established change methods still treat change as a move from the current culture to an “ideal” future culture, in a deterministic way. Diagnose through centrally designed surveys, design the “target culture”, then roll it out.

Estalished methods fail for three reasons, they:

1. Underestimate how difficult it is to achieve and sustain change. Many programs never get to the root causes of bad practices, the unwritten rules that keep them in place, and unlearning old ways takes time and practice.

2. Tend to discard the current situation in favor of a new future and thus throwing out the best of the what already exists.

3. Lack the ground-up nuance and flexibility needed for uncertainty. When you implement truly new ways of working, you cannot predict upfront what will and won’t work. Fixed programs struggle with that reality, plus you invite resistance when frontline employees are not involved in designing and testing the changes that shape day-to-day work.
   

I’ll focus on this third point. Not another top-down change program, but managed evolution: creating autonomous, evolutionary loops of trial and error that gradually build better ways of working.

A simple loop: identify tensions, define practices, experiment, then scale what works.

Step 1: Start from friction, not from an “ideal culture”

Ask teams: “What stands in the way of your best work?”

You will get concrete friction, not abstract values. And that matters, because friction is where practices live. Now cluster the answers into a small set of themes so you can see patterns. Use categories such as: Purpose, Authority, Structure, Strategy, Resources, Innovation, Workflow, Meetings, Information, Membership, Mastery, Compensation.

Source: Brave New Work by Aaron Dignan

Pick one area that is not too difficult. Then brainstorm one new practice that might reduce the friction.

If needed, find inspiration for new practices in Daniel Coyle's excellent book The culture playbook or Aaron Dignan's Brave New Work. Tip: Use AI as a sparring partner. Prompt: “Act as if you are Daniel Coyle and suggest new practices to help us improve [meetings / decision-making / workflow] so it becomes easier for people to do their best work.”

Step 2: Define the experiment, then run it safely

Define:

• Where you will try it

• When, and for how long

• How you will evaluate success

• What “safe to try” means, what can go wrong, and what you will do if it does

Communicate it as an experiment, not a mandate. The goal is learning, not compliance.

Step 3: Scale by removing barriers, this is where top management comes in

If the experiment works locally, it still won’t spread by itself. That’s because the blockers are often structural: decision rights, policies, KPIs, budget rules, IT constraints, governance, incentives.

This is where senior leadership earns their keep: remove the barriers that prevent a better practice from scaling. In this social age, the proven new practice will spread. Then move on to a slightly harder tension.

Word of caution: if top management only “sponsors” but does not actually remove constraints, this turns into a collection of local pilots. Lots of motion, little change. Step 3 is the difference between isolated experiments and real evolution.

How to make this scalable without turning it into another program

Steps 1 to 3 can be supported by AI co-work agents such as Claud co-work instructed with specific skills: synthesising inputs, suggesting candidate practices, spotting patterns, and bringing likely scaling barriers to senior management’s attention for discussion and decision. They can work through input from individuals and teams across the organisation via Teams, Slack, or email, and feed a steady cadence into the management rhythm:

• Here’s what is getting in the way of best work

• Here are the experiments running

• Here is what seems to work

• Here are the barriers that require leadership action

Invitation

Pick one team, ask the Step 1 question, design one practice, run one safe experiment, then bring the first real scaling barrier to leadership in Step 3. If you want, message me what friction came up and what you tried, I’m happy to react with a few candidate practices and a simple experiment setup.

And if you’d like to apply managed evolution across a wider part of the organisation, with AI supporting the listening, synthesis, and experiment tracking, reach out.

Part 2 will go deeper on why many change approaches discard the strengths of today’s culture and what to do instead.

Part 3 will go deeper on solving for the root causes of bad practices, the unwritten rules that keep them in place

*** This post was inspired by Aaron Dignan’s Brave New Work. The experiments themselves can be drawn from Daniel Coyle’s The Culture Playbook, a practical catalogue of small, repeatable moves that shape group behaviour.