Monday, September 30, 2013
Scaling Agile across the Enterprise attracts a lot of attention these days. There are a number of models suggesting ways to organize Agile development inside a sizable organization with a lot of teams. I suspect that all of these models share the same basic flaw—that you can do something the same way across a large enterprise. Even if your policy manual says exactly how to do something, people are people and there will be variations in understanding and execution. And how does a team self-organize in a prescribed manner?
Beyond that, there’s the problem of getting from current state to a future state that resembles the model. It does not work to “install” a new way of working across a large system composed of people and their interactions. Some people suggest starting the transformation with management, as that’s the “highest leverage point” and the “system’s major influencers.” Others suggest starting with the teams, because without competence at building reliable software (or other systems) in short cycles of small steps, you’re not going to get the benefits of Agile Software Development. I don’t think that either of these starting points work.
“When we try to pick out anything by itself, we find it hitched to everything else in the Universe” — John Muir (Continued)
Friday, September 13, 2013
I forgot to announce that ProjectManagement.com published my article, When Estimates Go Wrong, a couple weeks ago.
Monday, July 29, 2013
I’ve seen many comments on the topic of estimation in the past year, and I’m starting to notice some trends and assumptions in them. One of the common assumptions is that, given a particular team and amount of resources, there is a correct length to a project. A twin to this one is that there is a correct estimate that contains the same end date as the subsequent actual project performance. (Continued)
Monday, May 27, 2013
Team commitment is a wonderful and sometimes fragile thing. Many responses to my description of it are indications of how frequently the word “commitment” is used in a dysfunctional manner. Indeed, the post was prompted by similar conversations.
Believe me, I’ve seen these dysfunctions many times. They are so numerous and varied that no catalog of them could be complete. It’s not the word, commitment, that causes the problems, however. And avoiding that word will not solve the problems. Instead, we have to look at the behavior and attitudes behind the problems in order to reliably recognize them and choose strategies for correcting them. (Continued)
Friday, May 24, 2013
Most Scrum teams estimate their top priority stories, select those stories that add up to their historical velocity for their sprint backlog. Some teams simplify this by merely counting the stories, or using the mathematical reciprocal, cycle time. Others make it more complicated, calculating the effect of days off and other known distractions from the work.
However they calculate it, some people put a lot of faith in the historical data to guide the future. “It’s data,” they say, “it’s better than guesses and not subject to cognitive bias.” Not all data is easily measured and converted to numbers, though. Limiting yourself to this initial calculation is, itself, an example of anchoring bias. (Continued)
Wednesday, May 15, 2013
Over on projectmanagement.com, my article “Agile: What’s in it for the Project Manager?” has been posted in two installments: part 1 on gathering requirements and work breakdown, and part 2 on interpreting requirements and tracking progress. Projectmanagement.com requires free registration to access the full content.
Wednesday, May 8, 2013
There have been some web posts and twitter comments lately that suggest some people have a very narrow view of what techniques constitute an estimate. I take a larger view, that any projection of human work into the future is necessarily an approximation, and therefore an estimate.
I often tell people that the abbreviation of “estimate” is “guess.” I do this to remind people that they’re just estimates, not data. When observations and estimates disagree, you’d be prudent to trust the observations. When you don’t yet have any confirming or disproving observations, you should think about how much trust you put into the estimate. And think about how much risk you have if the estimate does not predict reality.
This does not mean, however, that you have to estimate by guessing. There are lots of ways to make an estimate more trustworthy. (Continued)
Friday, April 26, 2013
In business, we’re often asked for estimates with too little context to understand the request. When that happens, we’re likely to expect the worst–that our estimate will be treated as a “guarantee not to exceed” and we’ll likely be in trouble at some time in the future. Of course we think that; we’ve been burned too many times in the past. Our fear of the consequences will encourage us to spend far too much time and effort trying to get the estimate “right” so we won’t be blamed.
If an estimate is really an estimate, then we know that it’s “wrong” in the sense that the subsequent actual reality is unlikely to equal it. The estimate is a guess, perhaps an educated guess, predicting the future. Predictions are hard, especially about the future.
Given these problems with estimates, why do we bother to make them at all? (Continued)
Sunday, March 31, 2013
Suppose you have a number of products, or a number of applications, that share some common functional needs. It seems obviously reasonable to create a separate team to build those functions in common. Often these grow to become known as a framework, and the product or application teams are expected to use it.
It’s a seductive concept, but don’t do it. Why not? I can think of several reasons. (Continued)
Wednesday, March 27, 2013
Adding a new team member to an existing team always introduces challenges. The introduction changes the makeup of the team, and if the team had jelled, it has to do so, again, with the new member.
Also, the new member has to learn about the team and its work. There are many tacit assumptions held within a team. It’s impossible to document them all and, even if you could, both reading such a document and keeping it up to date are daunting herculean tasks.
So how do you maximize the integration of a new team member with a minimum amount of work? (Continued)