> Subject: [VG-Discuss] Re: Success Metrics for Online Tools for Govt.
> Transparency
>
>
RBM... scary.... sends shivers down my spine.
>
> Great article! I'm in favour of anything that gets "whole teams of
> people begin to focus their attention on program impact".
>
> Have to agree with you on the value of qualitative information Marc-
> Antoine. RBM encourages a mix of quantitative and qualitative data.
> It's just a framework to describe the link between the results of your
> ongoing activities to your 'most significant change'. It's too bad
> that it's gotten such a bad rap...I blame it on government! ;)
>
> I'll leave you with this oft-used phrase: "What gets measured tends to
> get improved." It's worth spending the time deciding what that should
> be.
Hello, Laura!
Heh, a long discussion... I am not even sure we disagree, since the
devil's in the details, though we seem to come at this grey area from
either end. And all that follows with the caveat that I am not a
measurement specialist, unlike you! But I am trying to approach this
from a systems perspective.
I will certainly agree with you that measurement is most useful to
improve processes; I was trying to say that real positive impacts of
processes cannot always be measured, beyond a point. I may be
splitting hair, here; I am contrasting "measured" and "detected"...
Most goals are influenced by so many factors, that it is almost
impossible (or absurdly costly) to determine the exact contribution of
each factor. However, as a donor, one would legitimately want to know
that a given factor that you sponsored was at least part of the
equation, though I could not know how much! Hence the value of
detection of weaker signals, as in the form of stories... with the
added uncertainty they entail.
I confess not having first-hand experience with RBM; but my wife had
to use it to justify activities of a small NGO to CIDA, and I
certainly got the strong impression, looking at RBM manuals and the
reports she was producing, that she was expected to quantify
contributions of inputs to outputs, not only "describe" the links, and
this I believe to be pie-in-the sky for many applications. (Though of
course it is appropriate in some cases!)
And it was indeed consuming a very high percentage of her time on a
project where she was otherwise the main producer of value. As I said
above, measurement turned out to be very costly, overall. Scale was a
huge factor, here. RBM requires each team to also be a measurement
researcher; for very small teams (approaching one person!), the
overhead is overwhelming. That is also true for qualitative work,
incidentally; but it is worse with quantitative requirements, which
are always felt to require more evidence. That said, some of this may
be, as you said, specific uses of RBM vs its theory, which did seem to
have more leeway. But another thing I believe in is to always look at
methods and tools the way they tend to get used, not the way they are
meant to be used by their designers, or specialists. (Tearing my hair
at my own tool design right now!) The tools impose a surprising bias,
that few practitioners overcome, and it is often sobering to measure
their real-life cost.
That said, I have only one data point; in this case, it could be
practical and useful to measure quantitatively the total cost of
adopting RBM to our economy. (Has this been done?) But, of course,
that needs to be contrasted with the (much more difficult to quantify)
benefits that this measurement did (undoubtedly) yield on processes.
Nothing is ever simple, is it?
So to summarize: Yes, I believe in evaluation. Some kind of control
should be applied, even though it has a cost as argued above. The
alternative is blindness. But evidence (esp. quantitative) can be
tenuous and/or costly to collect; anything that can lighten
measurement requirements allows more people to act. My extremely
limited experience of RBM, and what I heard about it from other
practitioners, is that it has, in practice, encouraged quantitative
requirements. This is useful, even required, above a certain cost/
scale; but I doubt it scales down easily.
That said... nice discussion, but in the precise case of web sites
such as visible government, a lot of quantitative data (clicks) can be
obtained easily, and should. More than that, citizen intervention can
be tracked; Jennifer, I hope that you give users of your site a way to
indicate if they wrote to their MP about what they saw; even better,
allow them to send the letter through the site. Though... there might
also be political reasons not to do so! If not, a Bcc address would be
a good way to be in the loop. But I think you should go for it.
In the long run, changes in expense patterns could also be tracked and
quantified. But how much of those hoped-for changes could be
attributed to the work of visiblegovernment? Here, quantitative
evaluation will draw a blank, and it is important to acknowledge that
evidence, if any, would be anecdotal. Having a means to capture
anecdotes is thus vital, because it is all you could have.
Cheers,
Marc-Antoine