| ABCD Framework | Framework where Attention, Beliefs, Choice and Determination influence behaviour |
| Affect heuristic | A mental shortcut where people rely on their immediate emotional reactions when making judgements and decisions |
| Ambiguity aversion | The tendency to favour the known over the unknown |
| Anchoring | The tendency to over-rely on one piece of information, typically the first piece of information, when making decisions |
| Automation bias | The tendency to defer to systems automatically without adequate scrutiny |
| Bounded rationality | The concept that people often make decisions under constraints of limited information, time, and mental bandwidth, leading them to use heuristics or rules of thumb to make the best decision they can under the circumstances. |
| Calibrate forecasts | The process of prompting civil servants to make concrete forecasts and provide feedback on the accuracy of their forecasts so they can calibrate their judgement. |
| Case conference | When multiple reviewers first decide on a decision independently and then develop a consensus |
| Choice architecture | The way in which options are presented to decision makers, which can influence the choices they make, often without restricting options or significantly changing incentives. |
| Catastrophising | The tendency to imagine or expect the worst possible outcomes, even when they are unlikely |
| Cognitive bandwidth | The brain’s capacity to actively process 7 ± 2 pieces of information at once |
| COM-B | Framework where Capability, Opportunity and Motivation combine to produce Behaviour |
| Competitor neglect | The tendency to over-rely on one’s own data and internal perspective while under-weighting external evidence about competitors and the broader competitive environment. |
| Confirmation seeking | The tendency to ignore or overlook evidence that contradicts one's views |
| Confirmation bias | The tendency to selectively consider evidence that supports existing beliefs and overlooking contradictory evidence |
| Consider the Opposite | A structured challenge to assumptions by asking “What are some reasons that our initial judgment might be wrong?” and providing the best available evidence why. |
| Curse of knowledge | The tendency for experts to overestimate how familiar non-experts are with their subject matter. |
| Decision-hygiene protocols | Protocols such as case conferences where multiple reviewers first decide independently and then develop a consensus, relative judgements that assess options relative to each other, and algorithms that support, but never replace, human decision making. |
| Descriptive norms | Norms about how people do behave |
| EAST | Framework which seeks to make behaviour Easy, Attractive (or, Attention-grabbing), Social and Timely |
| Endowment effect | The tendency for people to value things more highly once they perceive them as their own, leading to a reluctance to trade or relinquish them. |
| Formality effect | The tendency for people to pay more attention to more formal, serious communications |
| Go/no-go decisions | Binary choices about whether to proceed with or halt an action, project, or investment based on predefined criteria or available evidence |
| Groupthink | The process in which suboptimal decisions are made by a group because its members do not want to express opinions, suggest new ideas, etc. that others may disagree with |
| Halo effect | The tendency to let positive impressions in one area unjustifiably influence judgements about unrelated capabilities |
| Heuristics | Rules of thumb or mental shortcuts which are used under conditions of uncertainty |
| High quality evidence | Further research is very unlikely to change our confidence in the estimate of effect. Table 1.2. GRADE strength of evidence framework |
| Illusion of similarity | The tendency for people to overestimate how representative their own views are of the population |
| Implementation intentions | Structured plans for when and how learners will apply their learning in the days, weeks and months post-training |
| In-group favouritism | The tendency for people to prefer others who share superficial traits with themselves |
| Injunctive norms | Norms about how people are expected behave |
| Loss aversion | Over-weighting the value of safe, incremental changes over riskier options with greater expected value. |
| Low quality evidence | Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate. Table 1.2. GRADE strength of evidence framework |
| Messenger effect | The tendency for people to evaluate the credibility of evidence based on irrelevant attributes of the source of the information rather than the merits of the evidence |
| Mind projection fallacy | The tendency for people to assume their subjective interpretation of the world describes objectively what it is like for other people |
| Moderate quality evidence | Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate. Table 1.2. GRADE strength of evidence framework |
| Moral prompts | Nudges that remind people of appropriate behavior and activate moral standards before they might act dishonestly |
| Noise | Unwarranted, random variation in decisions that lead to inconsistent outcomes in situations where consistency is expected |
| Optimism bias | The tendency to systematically underestimate costs while overestimating benefits |
| Ordering effects | The tendency to score the same response differently depending on the sequence it is reviewed |
| Overconfidence | The tendency for people to overestimate their knowledge and abilities in a certain area |
| Peak-end rule | The tendency to judge a process by the experience at its peak and its end |
| Planning fallacy | The tendency to predict that projects will be implemented as planned, even when similar projects have historically not gone according to plan |
| Pre-mortems | An exercise during the project planning phase where teams imagine that the project has already ended in failure, and they need to understand why |
| RCT | Randomised Controlled Trial |
| Recency and availability heuristic | The tendency to overestimate the importance or likelihood of events that are recent or easily recalled |
| Red Teams | A team at arms-length from the project who challenge its assumptions, evidence and decision making. |
| Reference class forecasting | A method of estimating project implementation based on the outcomes of similar past projects (the reference class) |
| Risk aversion | The tendency to prefer options with certain outcomes over those with uncertain outcomes |
| Risk seeking | The tendency to prefer riskier options over more certain outcomes |
| Salience | The tendency for more noticeable or prominent features to disproportionately influence attention and decision making |
| Self-interested or motivated reasoning | The tendency to interpret information in ways that support one’s own interests, goals, or prior beliefs |
| Short-term focussed | The tendency to over-weight short-term costs at the expense of potential longer-term benefits |
| Sludge | Excessive or unjustified frictions, burdens, or administrative barriers that make it harder for individuals, including civil servants, to perform a desired behaviour. |
| Smart anchors | Anchors based on reference class forecasts and which nudge project managers to set more realistic expectations of success. |
| Social desirability bias | The need for people to present themselves favourably which may lead to them under-reporting sensitive issues. |
| Sunk cost thinking | The tendency to continue implementing ineffective policy or projects based on money already spent and giving too little weight to future costs and benefits |
| Theory-of-change | A methodology for planning, monitoring, and evaluating an initiative |
| Very low-quality evidence | Any estimate of effect is very uncertain Table 1.2. GRADE strength of evidence framework |
| Wisdom of crowds | Taking the average of multiple estimates to estimate an outcome. |
Applying Behavioural Science in the Italian Public Administration
A Blueprint for Best Practices
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