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presenting the evidence

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action->outcome in PepperSlice

Guide: Promoting Evidence-Based Insights

10 February 2018By
Ugly Research offers a new guide, Promoting Evidence-Based Insights. Practical tips for presenting content with four essential characteristics: Top-line, evidence-based, bite-size, and reusable. Communicate quickly and powerfully by demonstrating value to decision makers. Show how A → B. So people don’t think tl;dr or MEGO (My Eyes Glaze Over), be sure to emphasize insights that...
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data visualization of crime statistics using Tableau

But where is the decision? Data visualizations don’t show the why and how.

29 January 2018By
Technology helps us discover meaningful patterns: Buying behavior, criminal activity, health effects. But when we succumb to pretty pictures and mindless measurement, shiny data fails to help answer important questions. Source: Tableau. This data visualization tool would be great for someone seeking crime stats – say, for law enforcement or house buying. But it doesn’t...
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Papers We Love: Judgment Under Uncertainty / Cognitive Bias

17 January 2018By
Our founder, Tracy Allison Altman, will talk about cognitive bias and behavioral economics for software design @ Papers We Love – Denver. Tversky and Kahneman’s classic “Judgment under Uncertainty: Heuristics and Biases” challenged conventional thinking about bias in decision making, inspiring new approaches to cognitive science, choice architecture, public policy, and the underlying technology. Join...
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The lean way to present to decision makers. (This isn’t a TED talk.)

15 October 2017By
There’s plenty of advice about designing presentations. But little of it prepares you for delivering complex evidence to senior-level decision-makers. This should help. How might your evidence help someone understand the steps required to reach an important goal? 1. Put together lean evidence, embracing lean management concepts. As explained by the Lean Enterprise Institute, “The...
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Anscombe quartet for data visualization

5 ways to tell a value story with data.

14 October 2017By
Source: Wikipedia. Anscombe’s quartet. Presenting to decision makers? Always remember it’s not a data story you’re telling, it’s a value story. First, ask yourself: What is the message? Why is this valuable and meaningful to your audience? Where did the data come from, and why are your conclusions believable? Then follow these 5 tips to...
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photo of people grouped together

False dichotomy: Data-driven vs. gut-feel

21 July 2017By
Smart decision-making is more complicated than becoming ‘data-driven’, whatever that means exactly. We know people can make better decisions if they consider relevant evidence, and that process is getting easier. But too often tech enthusiasts dismiss people’s decisions as based on gut feel, as if data will save us from ourselves. Let’s put an end to...
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calculator saying I don't Know

Don’t show me the evidence. Show me how you weighed the evidence.

30 April 2017By
Sometimes we fool ourselves into thinking that if people just had access to all the relevant data, then the right decision – and better outcomes – would surely follow. Of course we know that’s not the case. A number of things block a clear path from evidence to decision to outcome. Evidence can’t speak for...
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What works reading list

‘What Works’ toolkit, the insight-driven organization, and peer-review identity fraud.

8 April 2017By
1. Abundant evidence → Clever synthesis → Informed crime-prevention decisions The What Works Crime Toolkit beautifully synthesizes – on a single screen – the evidence on crime-prevention techniques. This project by the UK’s @CollegeofPolice provides quick answers to what works (the car breathalyzer) and what doesn’t (the infamous “Scared Straight” programs). Includes easy-to-use filters for...
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patient value

Valuing patient perspective, moneyball for tenure, visualizing education impacts.

28 December 2016By
1. Formalized decision process → Conflict about criteria It’s usually a good idea to establish a methodology for making repeatable, complex decisions. But inevitably you’ll have to allow wiggle room for the unquantifiable or the unexpected; leaving this gray area exposes you to criticism that it’s not a rigorous methodology after all. Other sources of...
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photo of penguin navel-gazing

Inspire people with insights, Part 2.

25 November 2016By
To be inspired, your audience needs to see how findings are reliable and relevant. Part 1 talked about creating practical checklists to ensure data-driven research is reproducible. This post describes how to deliver results that resonate with your audience. It’s nice when people review analytical findings, think “Hmmm, interesting,” and add the link to bitly....
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Museum musings.

Pondering the places where people interact with artificial intelligence: Collaboration on evidence-based decision-making, automation of data-driven processes, machine learning, things like that.

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