Our Quantified Life
The primary measure of progress
SAFe is oriented around volume, not value
Outcomes decide
Design as an engineering problem
Obsessed with absolute numbers
Lost purposes
The case against heatmaps
It's All Over
An Essay by Justin E. H. SmithIt has come to seem to me recently that this present moment must be to language something like what the Industrial Revolution was to textiles. A writer who works on the old system of production can spend days crafting a sentence, putting what feels like a worthy idea into language, only to find, once finished, that the internet has already produced countless sentences that are more or less just like it, even if these lack the same artisanal origin story that we imagine gives writing its soul. There is, it seems to me, no more place for writers and thinkers in our future than, since the nineteenth century, there has been for weavers.
Time-based analytics
An Article by Ryan SingerAnalytics apps don't tell you much about usage behavior. You might be able to see how many users performed an event, or how many times they did it. But none of the analytics packages out there are good at showing you how often people do things. Are they using to-dos once a week? Every day? Only signing into the app once a month but happily paying for years?
Time matters. You can't understand usage without time.
Fast Path to a Great UX – Increased Exposure Hours
An Article by Jared SpoolAs we’ve been researching what design teams need to do to create great user experiences, we’ve stumbled across an interesting finding. It’s the closest thing we’ve found to a silver bullet when it comes to reliably improving the designs teams produce.
The solution? Exposure hours. The number of hours each team member is exposed directly to real users interacting with the team’s designs or the team’s competitor’s designs. There is a direct correlation between this exposure and the improvements we see in the designs that team produces.
Metrics have a strange hold on the imagination
A Fragment by Shawn WangOnce in place, metrics have a strange hold on the imagination: I've seriously had a CTO carelessly reject my genuine idea out of hand because "it doesn't help OKRs", the same OKRs we previously agreed should not describe all that we do.
I agree with Amir Shevat that we should "do the right things over the easy to measure things."
How would you feel if you could no longer use the product?
An ArticleThe product/market fit definitions I had found were vivid and compelling, but they were lagging indicators — by the time investment bankers are staking out your house, you already have product/market fit. Instead, Ellis had found a leading indicator: just ask users “how would you feel if you could no longer use the product?” and measure the percent who answer “very disappointed.”
Site performance is potentially the most important metric
A Fragment by Kealan ParrSite performance is potentially the most important metric. The better the performance, the better chance that users stay on a page, read content, make purchases, or just about whatever they need to do. A 2017 study by Akamai says as much when it found that even a 100ms delay in page load can decrease conversions by 7% and lose 1% of their sales for every 100ms it takes for their site to load which, at the time of the study, was equivalent to $1.6 billion if the site slowed down by just one second.
The McNamara fallacy
A DefinitionThe McNamara fallacy, named for Robert McNamara, the US Secretary of Defense from 1961 to 1968, involves making a decision based solely on quantitative observations (or metrics) and ignoring all others. The reason given is often that these other observations cannot be proven.
The fallacy refers to McNamara's belief as to what led the United States to defeat in the Vietnam War—specifically, his quantification of success in the war (e.g., in terms of enemy body count), ignoring other variables.
Artifice, blindness, and suicide
A QuoteThe first step is to measure whatever can be easily measured. This is OK as far as it goes. The second step is to disregard that which can't be easily measured or to give it an arbitrary quantitative value. This is artificial and misleading. The third step is to presume that what can't be measured easily really isn't important. This is blindness. The fourth step is to say that what can't be easily measured really doesn't exist. This is suicide.
Weighing up UX
An Article by Jeremy KeithMetrics come up when we’re talking about A/B testing, growth design, and all of the practices that help designers get their seat at the table (to use the well-worn cliché). But while metrics are very useful for measuring design’s benefit to the business, they’re not really cut out for measuring user experience.
Predicted Mean Vote
A DefinitionThe predicted mean vote (PMV) was developed by Povl Ole Fanger at Kansas State University and the Technical University of Denmark as an empirical fit to the human sensation of thermal comfort. It was later adopted as an ISO standard. It predicts the average vote of a large group of people on the a seven-point thermal sensation scale where:
- +3 = hot
- +2 = warm
- +1 = slightly warm
- 0 = neutral
- -1 = slightly cool
- -2 = cool
- -3 = cold
What Do Metrics Want? How Quantification Prescribes Social Interaction on Facebook
A Research Paper by Benjamin GrosserWhat are the effects of this enumeration, of these metrics that count our social interactions? In other words, how are the designs of Facebook leading us to act, and to interact in certain ways and not in others? For example, would we add as many friends if we weren’t constantly confronted with how many we have? Would we “like” as many ads if we weren’t told how many others liked them before us? Would we comment on others’ statuses as often if we weren’t told how many friends responded to each comment?
In this paper, I question the effects of metrics from three angles. First I examine how our need for personal worth, within the confines of capitalism, transforms into an insatiable “desire for more.” Second, with this desire in mind, I analyze the metric components of Facebook’s interface using a software studies methodology, exploring how these numbers function and how they act upon the site’s users. Finally, I discuss my software, born from my research-based artistic practice, called Facebook Demetricator (2012-present). Facebook Demetricator removes all metrics from the Facebook interface, inviting the site’s users to try the system without the numbers and to see how that removal changes their experience. With this free web browser extension, I aim to disrupt the prescribed sociality produced through metrics, enabling a social media culture less dependent on quantification.
What Good Means
The center of the way
The advice I’ve received from those who are close to the center of this timeless way of building is to start small. Like with a piece of tile, or a tea tray. And to then imagine along with Christopher Alexander:
What it would be like
to live in a mental world
where one’s reasons
for making something
functionally
and one’s reasons
for making something
a certain shape,
or in a certain
ornamental way
are coming
from precisely
the same place
in you
.Seduction
“The classic pervasive seduction to designers is finding a solution instead of the truth.” — Richard Saul Wurman
What the material wants to be
Part of how Lou Kahn made things be good was to ask the material what it wanted to do and be. He asked brick what it liked, and would get a different answer depending on the context for the building. In Dacca, the capital of Bangladesh, brick said it liked an arch. For the Korman House in Philadelphia, brick said it liked two giant fireplaces with a lintel between them for a doorway beneath and a balcony above.
Asking yourself some questions
All of the moves that we make in space will tend toward being in accord with this phenomenon of wholeness / beauty / life if we’re willing to bring the requisite level of care to the doing of our work.
Alexander says that each of us possess the means for accessing this order within ourselves and — here’s where he loses most other architects and many in the so-called sciences in academia — he contends that what we’re connecting with inside of ourselves is an objective criterion for what good means.
Applying the criterion is easy: you ask yourself some questions:
With any action you might take with regard to placement, and with regard to the situatedness of things in space you ask yourself: does this move increase wholeness / beauty / life?
Does the intervention you’re taking intensify the feelings of wholeness in you as the maker when you are performing the work?
How does your work on this one part enhance what’s going on among wholes at the system level?
Losing meaning
The people who’ve proven that they can make very good individual products with the radical focus of a spotlight seem to be pushed ever further from making good ecosystems.
Products are being made “consistent” with the application of so-called “design patterns,” and rather than bringing coherence to these various touch-points, the painting-on of interface standards and interaction patterns did something far less valuable.
Rote consistency, in the way many seem to be going about it (Material Design being just one example), is at odds with making things be good. It simplifies what needs to remain complex.
Always, when simplification is underway, meaning is being lost.
Two coffee trays
We speculate that the shop owners designed and built an initial quantity of these remarkable coffee trays, replete with what Alexander considers to be the fifteen geometric properties that correlate with wholeness / beauty / life.
Then they got busy. And then they got successful. They needed more coffee trays, and our hypothesis is that somebody decided to simplify the trays to ensure they could be produced in the quantities and at the price that worked for their budget, within an urgent food-service timeline.
The simplified tray fulfills every function the more complex tray does, with less fuss in manufacturing on account of having standardized its geometry. The simplified tray works, but isn’t alive. It lacks the gradients, local symmetries, levels of scale, contrast, and boundaries that are all present and accounted for in the tray that’s got wholeness / beauty / life. The tray with wholeness isn’t necessarily better than the simpler one. But it is good.