Skip to main content
Attention And Choice in Behavioral Economics Dataset

Attention And Choice in Behavioral Economics Dataset

$385.95
Adding to cart… The item has been added

What does the Attention and Choice in Behavioral Economics Dataset include?

The Attention and Choice in Behavioral Economics Dataset includes 1501 prioritised self-assessment requirements across 12 behavioural economics domains, delivered in Excel and CSV formats with integrated scoring logic, maturity benchmarks, and mappings to Prospect Theory, Nudge Theory, and the Behaviour Change Wheel. It also includes gap analysis matrices, remediation pathways, and reporting templates for immediate implementation in research, product design, or behavioural strategy audits.

What are the hidden cognitive biases shaping attention and choice in your decision-making processes? Without a structured, evidence-based approach to identifying how attention is captured and choices are framed, your organisation risks flawed strategies, ineffective messaging, and suboptimal customer experiences. The Attention and Choice in Behavioral Economics Dataset is a comprehensive self-assessment tool with 1501 prioritised requirements, enabling you to systematically analyse, evaluate, and optimise decision architectures across marketing, product design, policy development, and organisational behaviour. By implementing this dataset, you gain immediate clarity on how cognitive load, salience, and choice architecture influence real-world decisions, transforming behavioural insights from theory into measurable advantage.

What You Receive

  • 1501 structured self-assessment questions across 12 behavioural economics domains, including selective attention, choice overload, default effects, framing bias, and temporal discounting, each mapped to academic research and real-world applications to ensure validity and relevance.
  • Complete Excel and CSV datasets with coded maturity levels (Aware, Defined, Managed, Optimised), enabling rapid gap analysis across teams, products, or customer segments.
  • Integrated scoring engine with weighted scoring logic aligned with Nobel-recognised models like Prospect Theory and Nudge Theory, allowing you to benchmark performance against established behavioural science standards.
  • 12 domain-specific assessment modules, each containing diagnostic questions, scoring rubrics, and action triggers, so you can isolate high-impact areas such as digital interface design or pricing strategy.
  • Gap analysis matrices linking low-scoring areas to remediation pathways and case studies from finance, healthcare, e-commerce, and public policy, giving you clear next steps for intervention design.
  • Customisable reporting templates in Excel and Google Sheets that automatically visualise maturity scores, trend lines, and priority zones for executive review or audit preparation.
  • Mapping of all questions to key behavioural economics frameworks: Kahneman’s System 1/System 2 model, Thaler’s Nudge theory, the EAST Framework (Easy, Attractive, Social, Timely), and the Behaviour Change Wheel.
  • Instant digital download with lifetime access and no software dependencies, ready for use in cross-functional workshops, behavioural audits, or research validation.

How This Helps You

Every unexamined decision process exposes your organisation to hidden behavioural risks: customers ignoring your messaging, employees resisting change initiatives, or users abandoning digital platforms due to poor choice architecture. With this dataset, you move from intuition-based design to data-driven behavioural optimisation. Each question targets observable decision patterns, letting you detect subtle attention failures or choice distortions before they impact conversion, compliance, or engagement. You’ll prioritise interventions that increase conversion rates, improve user retention, and reduce decision fatigue, while demonstrating evidence-based programme outcomes to stakeholders. Inaction means continuing to rely on assumptions that may conflict with actual human behaviour, risking wasted budgets, failed nudges, and missed opportunities in competitive markets.

Who Is This For?

  • Behavioural scientists and researchers validating models or building experimental designs with real-world benchmarking data.
  • UX designers and product managers auditing digital interfaces for cognitive friction and attention leaks.
  • Marketing strategists assessing how messaging salience and framing influence customer choices.
  • Public policy advisors designing choice architectures for health, finance, or sustainability programmes.
  • Consultants delivering behavioural audits or building custom nudge interventions for clients.
  • Organisational change leads diagnosing resistance patterns rooted in attention scarcity or status quo bias.

Choosing this dataset isn’t just an investment in better data, it’s a strategic decision to ground your work in the science of human behaviour. When your insights are based on 1501 rigorously structured, research-backed assessment criteria, you’re not guessing what influences attention and choice, you’re measuring it, managing it, and mastering it.

!