Evaluate your decision process separately from your outcomes.
Machines Gone Wild! + Can Microlearning improve Data Science training?
How we decide is no less important than the data we use to decide. People are recognizing this and creating innovative ways to blend what, why, and how into decision processes. 1. Apply behavioral science → Less cognitive bias McKinsey experts offer excellent insight into Behavioral science in business: Nudging, debiasing, and managing the irrational […]
Papers We Love: Judgment Under Uncertainty / Cognitive Bias
1. Machines Gone Wild → Digital trust gap Last year I spoke with the CEO of a smallish healthcare firm. He had not embraced sophisticated analytics or machine-made decision making, with no comfort level for ‘what information he could believe’. He did, however, trust the CFO’s recommendations. Evidently, these sentiments are widely shared. — […]
The lean way to present to decision makers. (This isn’t a TED talk.)
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 […]
Underwriters + algorithms, avoiding bad choices, and evidence for rare illness.
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 […]
Algorithm reluctance, home-visit showdown, and the problem with wearables.
1. Underwriters + algorithms = Best of both worlds. We hear so much about machine automation replacing humans. But several promising applications are designed to supplement complex human knowledge and guide decisions, not replace them: Think primary care physicians, policy makers, or underwriters. Leslie Scism writes in the Wall Street Journal that AIG “pairs its […]
Don’t show me the evidence. Show me how you weighed the evidence.
Yikes, evidence-based decisions are taking on water. Decision makers still resist handing the car keys to others, even when machines make better predictions. And government agencies continue to, ahem, struggle with making evidence-based policy. — Tracy Altman, editor 1. Evidence-based home visit program loses funding. The evidence base has developed over 30+ years. Advocates for home visit programs […]
Use a Knowledge Graph to capture argumentation about health decisions.
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 […]
Choices, policy, and evidence-based investment.
Decision frameworks are tricky, and healthcare value assessment frameworks are no exception. While they can provide objectivity and support decision quality, they can also smother innovation and prevent some patients from receiving needed care. US pharma industry groups have reacted strongly to the framework used by ICER, the Institute for Clinical and Economic Review. This […]
How Warby Parker created a data-driven culture.
1. Bad Arguments → Bad Choices Great news. There will be a follow-on to the excellent Bad Arguments book by @alialmossawi. The book of Bad Choices will be released this April by major publishers. You can preorder now. 2. Evidence-based decisions → Effective policy outcomes The conservative think tank, Heritage Foundation, is advocating for evidence-based […]
1. SPOTLIGHT: Warby Parker data scientist on creating data-driven organizations. What does it take to become a data-driven organization? “Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply ingrained data culture,” says Carl Anderson. In his recent O’Reilly book Creating a Data-Driven Organization, he […]