Showing posts with label hard projects. Show all posts
Showing posts with label hard projects. Show all posts

Thursday, December 18, 2008

We May Look Back Fondly on Our 68% Project Failure Rate

The report [PDF] referenced here -- focusing on failure originating in the business requirements realm and offering a "68% project 'failure'" headline -- inspired two thoughts.

First, it remains a head-scratcher why nearly every project, despite talk of risk analysis and mitigation, expects to be in the 32% success area. Even if a company has the best resources (and generally it will not), many causes of project failure originate in organizational factors -- friction, process, politics -- and externalities (e.g., no budget this quarter for the tools in the original plan).

Since these issues are rarely known -- and, I would argue, actively denied in the sense that whistle-blowers and problem-spotter are systematically excluded from planning (at best) or forced down or out -- the average "expected value" of the d100 role is way less than a 68.

In startups, I've heard the excuse that the whole company is a "long shot" -- as though that justifies taking on disproportionate risk in each project implementation.

In enterprises, it seems as though management is so used to failure (in a timeline or budgetary sense), that they have simply redefined success to mean anything that they can pull off in their tenure -- and if that means a system that kinda works, but no one likes, shipped in 200% time and 400% budget, well, that's just the "reality" (which, to be sure, it is once all other possible paths have been discarded).

This redefinition of success also has the side effect of removing accountability and pretty much assuring a nice bonus and making strict accountability impossible.

Another thought inspired by the report is how the gap between enterprise development and small / startup development is widening. On the one hand, large businesses could benefit from the high-productivity tools and agile approaches popular with startups; for a variety of reasons ranging from policies to personnel, they are not exploiting the latest wave of technology, and it's costing them.

On the other hand, what they need regardless of tech is solid analysis and estimation capabilities. Analysis and estimation are possible, but hard, and the agile camp has moved mountains to try and reframe the problem so that they can advocate punting on all of the hard parts of these disciplines. That works great for the hourly agile consultants, but inside large businesses and large projects, it just doesn't cut it. A business needs to be able to attempt to estimate and plan months or even years of a project (hence the prevalence of "fake" agile in companies that purport to use it).

The fact that the business does a horrible job with the estimation today does not mean that the organization (which, generally, is run by business people not developers) won't keep planning and targeting in the large.

The result of these two pieces (different tech, different process) is that enterprise and small development are moving farther and farther apart, which is a damaging long-term trend. Ideally, these two groups should be learning from each other. They should spend more time moving in the same world.

The enterprise learns that it probably doesn't need JavaEE and Oracle and a big planning process for myriad internal utility apps that could be done with Rails at a fraction of the cost and effort. The small company learns that relational integrity, transactions, estimation, and operations management are sometimes both necessary and profitable.

Even more importantly, individual employees in the industry can cross-pollinate ideas as they move between these environments over their careers, sorting fact from fiction and getting better at determining what will work.

The farther apart these groups are, the less appealing it will be for "startup guys" to work in an enterprise or a startup to hire on an "enterprise guy."

This trend -- since it keeps useful knowledge hidden -- can only help a 68% failure rate go up.

Thursday, October 18, 2007

Double Black Diamond Software Projects

I've spent a good part of my career working on particularly challenging development gigs that I have come to call "Double-Black-Diamond Software Projects"

What exactly is a double-black-diamond project?

The name comes from ski trail markings, where a single black diamond indicates (at least in the U.S.) an "advanced" trail, while two black diamonds indicate "expert."

In reality, the difference between single- and double- black trails is that a strong skier can typically waltz onto a single diamond slope and have confidence that it may be interesting or challenging, but it will have a predictable outcome.

The double black trails, on the other hand, can feature hidden obstacles, cliffs, terrain features that vary with the snow conditions, and even areas which may be practically unskiable depending on conditions. (E.g., the cliffs in the background of this image are the double-black "Palisades" at Sugar Bowl.)

In software development, a double-black-diamond project is one where the outcome is in question from the beginning, not because of resource issues (e.g., too few developers or too little time), but because some fundamental unknowns are involved. Something new is being created, and it is sufficiently unique as to make it unclear whether it is even possible to succeed, or exactly what "success" will look like.

These unknowns might involve integration to an unknown external system, performance of problematic features like voice recognition, custom hardware, etc. If these challenges seem feasible enough, or success seems valuable enough, to make the software project worth a try (ultimately an investor decision), but the sheer implementation risk (as opposed to business risk) is clear from the start, you've got a double-black-diamond slope in front of you.

I will be writing a number of posts on these double-black-diamond software projects, and I plan to cover
  • typical elements ("signposts") indicating a double-black project
  • why, as a developer, you might ever want to get involved in such a project when there are lots of other opportunities
  • gearing up: the skills, knowledge, and/or people to bring with you
  • the art of keeping project sponsors properly informed (the subtle part is the definition of properly)
  • how to handle risk and predict outcomes (as much as possible)
  • maneuvers and techniques to gain leverage and minimize the odds of failures or surprises
  • managing the definition of "project success" (and why it's essential to do so, even as a coder)