Bliki: MaturityModel

A maturity model is a tool that helps people assess the current
effectiveness of a person or group and supports figuring out what
capabilities they need to acquire next in order to improve their
performance. In many circles maturity models have gained a bad
reputation, but although they can easily be misused, in proper hands
they can be helpful.



Maturity models are structured as a series of levels of
effectiveness. It's assumed that anyone in the field will pass
through the levels in sequence as they become more capable.



So a whimsical example might be that of mixology (a fancy term
for someone who makes cocktails). We might define levels like
this:




Knows how to make a dozen basic drinks (eg "make me a Manhattan")

Knows at least 100 recipes, can substitute ingredients (eg
"make me a Vieux Carre in a bar that lacks Peychaud's")

Able to come up with cocktails (either invented or recalled)
with a few simple constraints on ingredients and styles (eg
"make me something with sherry and tequila that's moderately sweet").


Working with a maturity model begins with assessment, determining
which level the subject is currently performing in. Once you've
carried out an assessment to determine your level, then you use the
level above your own to prioritize what capabilities you need to
learn next. This prioritization of learning is really the big
benefit of using a maturity model. It's founded on the notion that
if you are at level 2 in something, it's much more important to
learn the things at level 3 than level 4. The model thus acts as
guide to what to learn, putting some structure on what otherwise
would be a more complex process.



The vital point here is that the true outcome of a maturity model
assessment isn't what level you are but the list of things you need
to work on to improve
. Your current level is merely a piece of
intermediate work in order to determine that list of skills to
acquire next.



Any maturity model, like any model, is a simplification: wrong
but hopefully useful. Sometimes even a crude model can help you
figure out what the next step is to take, but if your needed mix of
capabilities varies too much in different contexts, then this form
of simplification isn't likely to be worthwhile.



A maturity model may have only a single dimension, or may have
multiple dimensions. In this way you might be level 2 in 19th
century cocktails but level 3 in tiki drinks. Adding dimensions
makes the model more nuanced, but also makes it more complex - and
much of the value of a model comes from simplification, even if it's
a bit of an over-simplification.



As well as using a maturity model for prioritizing learning, it
can also be helpful in the investment decisions involved. A maturity
model can contain generalized estimates of progress, such as "to get
from level 4 to 5 usually takes around 6 months and a 25%
productivity reduction". Such estimates are, of course, as crude as
the model, and like any estimation you should only use it when you have a
clear PurposeOfEstimation. Timing estimates can also be
helpful in dealing with impatience, particularly with level changes
that take many months. The model can help structure such
generalizations by being applied to past work ("we've done 7 level
2-3 shifts and they took 3-7 months").



Most people I know in the software world treat maturity models
with an inherent feeling of disdain, most of which you can understand
by looking at the Capability
Maturity Model
(CMM) - the best known maturity
model in the software world. The disdain for the CMM sprung from two
main roots. The first problem was the CMM was very much associated
with a document-heavy, plan-driven culture which was very much in
opposition to the agile software community.



But the more serious problem with the CMM was the corruption of
its core value by certification. Software development companies
realized that they could gain a competitive advantage by having
themselves certified at a higher level than their competitors - this
led to a whole world of often-bogus certification levels,
levels that lacked a CertificationCompetenceCorrelation. Using a
maturity model to say one group is better than another is a classic
example of ruining an informational metric by incentivizing it. My
feeling that anyone doing an assessment should never publicize the
current level outside of the group they are working with.



It may be that this tendency to compare levels to judge worth is a
fundamentally destructive feature of a maturity model, one that will
always undermine any positive value that comes from it. Certainly it
feels too easy to see maturity models as catnip for consultants
looking to sell performance improvement efforts - which is why
there's always lots of pushback on our internal mailing list whenever
someone suggests a maturity model to add some structure to our
consulting work.



In an email discussion over a draft of this article, Jason Yip
observed a more fundamental problem with maturity models:




"One of my
main annoyances with most maturity models is not so much that
they're simplified and linear, but more that they're suggesting a
poor learning order, usually reflecting what's easier to what's
harder rather than you should typically learn following this
path, which may start with some difficult things.



In other words,
the maturity model conflates level of effectiveness with
learning path
"






Jason's observation doesn't mean maturity models are never a good
idea, but they do raise extra questions when assessing their
fitness. Whenever you use any kind of model to understand a
situation and draw inferences, you need to first ensure that the
model is a good fit to the circumstances. If the model doesn't fit,
that doesn't mean it's a bad model, but it does mean it's
inappropriate for this situation. Too often, people don't put enough
care in evaluating the fitness of a model for a situation before
they leap to using it.




Acknowledgements

Jeff Xiong reminded me that a model can be helpful for investment
decisions. Sriram Narayan and Jason Yip contributed some helpful feedback.
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Published on August 26, 2014 21:49
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