What does the Emotional Decision Making in Behavioural Economics Dataset include?
The Emotional Decision Making in Behavioural Economics Dataset includes 547 self-assessment questions across 8 behavioural domains, a maturity scoring model, gap analysis matrix, benchmarking dashboard in Excel, 24 intervention templates, and a full implementation guide, all delivered as an instant digital download in PDF, Word, and Excel formats. It is designed to assess emotional and cognitive biases in decision making using principles from prospect theory, dual-process models, and nudge theory.
Organisations that fail to account for emotional decision making in behavioural economics risk flawed strategy, ineffective customer engagement, and poor change outcomes. Without a structured way to assess how emotion influences choices, teams rely on intuition, exposing programmes to bias, misaligned incentives, and failed interventions. The Emotional Decision Making in Behavioural Economics Dataset gives you an evidence-based, 500+ question self-assessment framework grounded in Nobel Prize-winning prospect theory, dual-process cognition models (System 1/System 2), and established nudge theory applications. This dataset enables you to quantify emotional bias, benchmark decision-making maturity, and design interventions that align with real human behaviour, not theoretical rationality. The cost of inaction? Wasted budgets on change initiatives that don’t stick, customer campaigns that miss the mark, and risk controls that fail because they ignore psychological drivers.
What You Receive
- 547 structured self-assessment questions across 8 behavioural economics domains, framing effects, loss aversion, social proof, cognitive heuristics, temporal discounting, choice architecture, emotional regulation, and risk perception, enabling rapid identification of decision-making blind spots in individuals and teams
- 8-domain maturity scoring model (1, 5 scale) with weighted rubrics to prioritise high-impact behavioural interventions and track improvement over time
- Gap analysis matrix (Excel format) that cross-references current practices against best-practice benchmarks from Thaler & Sunstein’s Nudge, Kahneman’s Thinking, Fast and Slow, and the OECD Behavioural Insights framework
- 24 evidence-based intervention templates with implementation guidance for common organisational challenges, adoption resistance, low compliance, suboptimal customer conversion, based on real-world case studies from financial services, healthcare, and public policy
- Customisable benchmarking dashboard (Excel) to compare your results against anonymised industry aggregates for improved context and goal setting
- Comprehensive implementation guide with step-by-step instructions for administering assessments, interpreting scores, and translating findings into action plans, delivered as an instant digital download in PDF and editable Word format
How This Helps You
Each assessment question maps directly to a validated psychological principle, enabling you to move from vague awareness to targeted intervention. With 547 specific, scenario-driven prompts, you can uncover how loss aversion skews risk reporting, how default options influence employee benefit uptake, or how emotional arousal impacts customer churn decisions. The scoring system highlights where emotional bias most severely distorts outcomes, letting you focus resources where they’ll have maximum impact. Ignoring these dynamics means your change programmes, customer strategies, and risk controls will continue to underperform. This dataset turns behavioural economics from abstract theory into a measurable, operational capability. You’ll reduce programme failure rates, increase stakeholder buy-in, and build more realistic models of human behaviour across compliance, marketing, HR, and cybersecurity domains.
Who Is This For?
- Behavioural scientists and applied psychologists implementing behavioural insights units or scaling nudge-based interventions
- Change management leads designing organisational transformations that account for emotional resistance and cognitive inertia
- Customer experience strategists seeking to understand subconscious drivers behind purchasing, retention, and satisfaction
- Risk and compliance officers assessing how emotional bias affects internal reporting, ethical decision making, and policy adherence
- Product and service designers building choice architectures that align with real-world user behaviour
- Consultants and coaches delivering evidence-based frameworks to clients facing adoption, engagement, or performance challenges
Purchasing the Emotional Decision Making in Behavioural Economics Dataset isn’t an expense, it’s a strategic upgrade to your decision intelligence capability. You’re not just getting questions; you’re gaining a validated measurement system used by leading behavioural teams worldwide. Take control of the hidden forces shaping choices in your organisation and marketplace.
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