Author Archives: Liz

Constraints and Cynefin

A short reminder of Cynefin and the difference between domains: Obvious situations can be categorized and have fixed constraints. Complicated situations can be analyzed and have governing constraints. Complex situations can be probed (trying something out that’s safe-to-fail) and have enabling constraints. Chaotic situations require you … Continue reading

Posted in cynefin | Leave a comment

A Probe by Any Other Name

In complexity (new stuff is complex) we prefer to probe; which means to try something out that’s safe-to-fail. Knowing things are failing or succeeding relies on feedback loops; but who do we get feedback from? And what do we do … Continue reading

Posted in cynefin, feedback, real options, Uncategorized | 2 Comments

Scenarios using custom DSLs

One of my clients recently asked me how often I use Cucumber or JBehave in my own projects. Hardly ever, is the answer, so I want to show you what I do instead. The English-language Gherkin syntax is hard to … Continue reading

Posted in bdd | 9 Comments

Off the Charts

If you’re following me on Twitter, you’ll have noticed that the amount I’m talking about the environment and climate change has ramped up recently. I want to explain why, and why this is probably the most important blog post I’ve … Continue reading

Posted in life | 4 Comments

On Multiple Givens, Whens and Thens

I wrote this as a reply to user RHarris’s question on StackOverflow, but thought it might be easier to find here too. The login scenario and the access record here are adapted from their question. What contexts should we include … Continue reading

Posted in bdd, stakeholders | 5 Comments

How to run a Futurespective

Futurespectives, like Retrospectives, look back at the past… from the future! I find them very useful when there isn’t much to retrospect on: at the start of a project or initiative. I’ve run them for myself, for other individuals, and … Continue reading

Posted in Uncategorized | 3 Comments

Probably not

When working in complexity, where the right thing to do emerges and we learn by actually trying things rather than by analysis, there’s a very human instinct that happens when we think of probes to try out. I see it … Continue reading

Posted in cynefin, real options | 1 Comment