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emotional connections in Experience design Dataset

emotional connections in Experience design Dataset

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What does the Emotional Connections in Experience Design Dataset include?

The Emotional Connections in Experience Design Dataset includes 637 self-assessment questions across 12 emotional maturity domains, a five-point scoring rubric, gap analysis matrix, industry benchmark data, emotional tagging by psychological principle, remediation roadmap template, reporting dashboard, and implementation guide. All deliverables are provided as instant digital downloads in Excel, CSV, and Google Sheets formats, designed for integration into UX research, product assessment, and customer experience programmes.

What makes some user experiences unforgettable while others fade instantly? The difference is emotional connection , and without a structured way to measure and design for it, your product risks indifference, low engagement, and customer churn. The Emotional Connections in Experience Design Dataset is a comprehensive self-assessment tool containing 630+ research-validated questions across 12 emotional maturity domains, enabling you to systematically evaluate, benchmark, and enhance the emotional impact of your digital products, services, and customer journeys. Left unmeasured, weak emotional design leads to failed user adoption, poor brand loyalty, and missed revenue opportunities , this dataset gives you the diagnostic precision to act before those losses occur.

What You Receive

  • 637 structured self-assessment questions organised across 12 emotional maturity domains: Empathy, Trust, Delight, Anticipation, Belonging, Identity, Motivation, Memory, Safety, Surprise, Validation, and Meaning , enabling you to audit every layer of emotional engagement in your experience design
  • Five-point Likert scoring rubric with weighted scoring guidance, allowing you to convert qualitative feedback into quantifiable emotional maturity scores for benchmarking and reporting
  • Gap analysis matrix template (Excel and CSV) that maps current-state vs ideal-state emotional performance, highlighting priority areas for intervention and design refinement
  • Industry benchmark dataset with anonymised emotional engagement scores from 420+ digital products, so you can compare your experience against peer performance and identify competitive gaps
  • Emotional impact tagging system that links each assessment question to psychological principles (e.g. Daniel Kahneman’s System 1 thinking, Don Norman’s affective design model, BJ Fogg’s Behaviour Model), ensuring your insights are grounded in behavioural science
  • Remediation roadmap generator (Excel-based) that auto-prioritises emotional design improvements based on impact effort and user vulnerability, guiding your team to high-ROI interventions
  • Customisable reporting dashboard (Google Sheets and Excel) with data visualisation templates for presenting emotional maturity scores to stakeholders, product leads, and C-suite decision-makers
  • Implementation guide with step-by-step instructions for running internal assessments, facilitating cross-functional workshops, and integrating emotional metrics into existing UX research and product development lifecycles

How This Helps You

You’re not just measuring user satisfaction , you’re diagnosing the emotional resonance of your product. With this dataset, you can detect early signs of emotional disconnection before they manifest as churn or negative NPS. Each question targets real behavioural indicators: Does your onboarding make users feel capable? Does your interface respond with empathy during errors? Are moments of delight strategically placed, or left to chance? Without a validated assessment, you’re designing in the dark , risking costly redesigns, failed launches, and customer alienation. By implementing this self-assessment, you gain the ability to speak with data about how your product makes people feel, align design decisions with emotional outcomes, and justify investments in human-centred innovation. The consequence of inaction? Products that function well but fail to connect , and lose market share to emotionally intelligent competitors.

Who Is This For?

  • User experience (UX) researchers and designers who need a repeatable, evidence-based method to evaluate emotional impact in digital products
  • Product managers building roadmaps that prioritise emotional drivers like trust, belonging, and motivation alongside usability and performance
  • Customer experience (CX) leads seeking to align service design with emotional journey mapping and sentiment analysis
  • DesignOps and research operations teams standardising emotional assessment across multiple product lines or global markets
  • Consultants and agencies delivering experience audits to clients, requiring a credible, defensible framework to back their recommendations
  • Academic and training programmes teaching emotional intelligence in design, looking for real-world assessment instruments

Choosing this dataset isn’t just a purchase , it’s a strategic commitment to designing experiences that matter. You’ll move from intuition-based design to insight-driven emotional engineering, with a tool validated by behavioural science and field-tested across enterprise and startup environments. Take control of the invisible forces that shape user loyalty, adoption, and advocacy.

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