I’m working with a large organization that is 7 months into an expected 3-year ‘transformation’ Today was the day we host our bi-weekly, in-person Lean Coffee where people can bring their questions about Agile, Scrum, Kanban or the transformation program itself to the table.
Not many showed up today, and we weren’t sure why.
Were people too busy? Did the people that attended previous sessions not find them valuable? Was there not enough focus for the sessions?
Sounds like a bunch of assumptions to me and the best way to challenge assumptions is to run an Experiment!
If you’re familiar with the first edition of the book, you probably recognize this diagram:
- MVC stands for Minimum Viable Change and I think ‘minimal’ is a matter of perspective.
- “Minimal” doesn’t always mean small.
- “Viable” also suffers from perspective bias.
Hence the new diagram!
Using the term Experiment implies a few things:
- We cannot predict, with complete certainty, the outcome of a change
- An Experiment typically has a set of expectations and assumptions
- Experiment deliberately implies, as a change agent, I’m starting with my own perspective, or bias, and I want to validate it by doing a small action
- Using the word Experiment explicitly invokes a different thought process in the brain
Since we weren’t sure why the attendance at Lean Coffee was lower today, we talked about running a few Experiments:
- Put business cards on the tables in every conference room: “Lean Coffee, June 21, 2pm, Room 002-129: Let’s talk about the Agile Transformation! Bring this card with you!” This would help us validate if this communication channel was more effective than the posters we put up.
- Recruit people on Agile teams to create and present a monthly theme for Lean Coffee
- Hand out flyers in the lobby…kinda like those annoying people in the mall!
- Start tracking acquisition and retention numbers (how are people finding out about lean coffee, who’s coming back for more than 1 session)
The problem we’re trying to solve is whether or not the low attendance is an awareness problem, or interest problem.
Our hypothesis is that by running a low-cost, and potentially high value, Experiment, we’ll gain some Insights into what to do next.
This is a simple example.
When it comes to more complex change programs, like transformations or re-orgs, it’s perhaps more important to think of changes as Experiments. Reason being, the word “transformation” implies a definable end state. The “transformation” metaphor is less relevant in today’s global economy because the pace of change is constantly increasing. Thinking of changes as Experiments will create a new metaphor, and approach to transformation: continuous change.
Continuous change is about create a series of small Experiments where the outcomes of these Experiments create Insights into new Experiments. Think of this approach as adaptive-planning or what I call, a ‘feedback-driven’ approach to change.
Constant change can lead to change fatigue so the idea is not to constantly run Experiments. Sometimes it’s necessary to take a ‘wait and see‘ approach during organizational change. Decide how long to run certain Experiments before moving on to the next.
Next, it’s important to create the Experiment by provoking conversations with these questions:
- Who’s our “customer”?
- Why would this change (Experiment) help them?
- How would we know if the Experiment was successful?
- How long should we run this Experiment?
Experiments force a discussion around outcomes. The challenge with these outcomes is that people often assume that a binary success or failure outcome can be tied to a change. The scientific method works great in science, not so much when the variables of an Experiment are the behaviours of people. Sometimes change is more art than science.
That said, changing the conversation to focus on the outcomes of Experiments puts the people affected by the Experiment front and centre. As a change agent, it isn’t about your or me. It’s about the people who ultimately have to live with the consequence of the change that matters.
Interested in learning more about Experiments? Sign-up and get a free sample chapter of Lean Change Management!
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