Sales training often says buyers decide with a primitive brain. The real science is more interesting. What we know about emotion and reason in decisions, and how to sell honestly.
How to estimate conversion rates, defect rates and success rates when you only have a little data, using priors, pseudo-counts and honest uncertainty instead of misleading percentages.
Why rough prototypes are often more useful than polished ones, how to decide what each prototype should learn, and how to keep early tests cheap, quick and honest.
Questions are the most powerful tool in any customer conversation. When to use open and closed questions, how to sequence them, and habits that quietly undermine conversations.
Qualifying is the discipline of finding out early whether an opportunity is real. The questions that matter, common frameworks such as BANT and MEDDIC, and how to walk away gracefully.
How to validate automated decision systems: performance metrics, rare-event simulation, robustness to model errors, trade-off analysis, adversarial testing and responsible deployment.
Information is only valuable if it could change your decision. How to calculate the value of information, judge whether a test is worth its cost, and avoid analysis that changes nothing.
Probability is a language for uncertainty. How degrees of belief, distributions, conditional probability and Bayes' rule help you reason clearly about evidence and risk.
Use five planning questions to connect your current position, future goals and practical choices, then turn the answers into a plan your small business can act on.
Expected value is not enough when outcomes are risky. How utility theory, rational preferences, risk attitudes and the maximum expected utility principle help make consistent choices.
The reasoning behind KEVOS's early exploratory phase, and how its focus was expected to narrow. KEVOS now focuses on engineering, manufacturing and operations services.
·10 min read
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