Framing the Question

“I need this project done by date D and within cost budget C. Now calculate an estimate on the project.”

A friend of mine used this example to illustrate anchoring bias in estimation. Note, however, that he doesn’t make the question explicit. Further conversation revealed that he had in mind that the date and cost should be the output of the estimation. With that assumption, that statement preceding the request will definitely anchor the answer, and realizing that this bias is likely will call into question whatever estimate is given.

Given the stated need, however, I would reframe the call for an estimate from “When will this project be done and how much will it cost” to “What is the likelihood that the project can be done within these constraints?” Read More

Visual Management Tools

Sometimes we intentionally make our work more visible so that we can more easily see what’s going on. We do this so that, as a group, we get a better picture of the whole of the group’s effort. At it’s best, this is more than a dashboard that displays information. Instead, it’s a tool that’s used by the people doing the work in the process of doing that work. Read More

No Time to Learn

The number one problem I see at clients is that there is no time to learn. Without time to reflect on how things are working, we don’t notice the things that we’re accustomed to not working very well. Without time to research what others are doing, we can’t make informed choices about things we might want to try. Without time to try experiments, we can’t find out if a different approach will work better for us, or not. Without time to try multiple experiments, we can’t evaluate what works for us over a broad range of situations rather than latching onto the first idea that appears to work at all.

To a large degree, Agile software development IS learning. We try things mindfully, watch the results we get, reflect on why we get those results, and adjust. We do that at multiple levels of granularity, from choosing what products to develop to writing code that works reliably.

It takes time, but it pays off over time. To keep doing the same things in the same way suggests that we know everything there is to know about it, and there are no improvements left to make. That we are already at top speed. That we can only do worse than we are right now. I find that highly unlikely.

There is always more to learn. There are ways to learn better ways to learn.

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Categories: Responding to Change

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Mocking External Services

Should your tests mock outside services or not? I keep seeing discussions on this topic. On the one hand, it lets your tests be in control of the testing context. Otherwise it may be very difficult to create a reliable automated test.

  • The external service might return different results at different times.
  • The external service might be slow to respond.
  • Using the external service might require running the test in a particular environment.
  • It may be impossible to generate certain error conditions with the real service.
  • There may be side-effects of using the real service.

On the other hand, our mock of the external service might differ from it in important ways.

  • Our mock service might have a slightly different interface than the real one.
  • Our mock service might accept slightly different parameters than the real one.
  • Our mock service might return slightly different results than the real one.
  • The real service might change behavior, and we won’t notice until we deploy to production.

This leaves us in a quandary. What to do? Read More

Interchangeable Project Lenses Can Reveal the Unseen

When we see the same view every day, we get complacent. We no longer notice certain details. Habit, rather than choice, controls many of our behavioral responses. We may be doing fine, but such a limited view doesn’t promote getting any better, and leaves us vulnerable to changes outside our control. Or we may be missing points that are essential to the success we want. Read More

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Categories: Responding to Change

Pair Programming Lessons from Improv

Thanks to Tim Ottinger for reminding me of Arlo Belshee’s post, “Is Pair Programming for Me?” Go read Arlo’s post, as it’s insightful and has more useful content than most articles on pairing. I’m just going to springboard off of one skill that Arlo mentioned being important to learn.

How to avoid “paragraphing” when talking. Learning to speak in half-sentences, leaving room for the other to take the idea in an unexpected direction.

A few years back, I took a course in “Beginning Improv Acting.” Read More