Building an Empathy Index for Meaningful User Research

Dr Asma Qureshi

February 4, 2026

Why Empathy Matters

In digital product strategy, empathy is often described as a “soft skill.” It is one of the hardest, most strategic capabilities an organisation can build. Empathy, the ability to understand and share the feelings of another, is the cornerstone of human-centred design and the first stage of any design thinking process. When empathy is absent, products feel cold, transactional, or even hostile. When empathy is embedded, they feel intuitive, respectful, and trustworthy.

The business case is equally strong. Research has shown that companies leading in empathy outperform their peers in value growth and earnings. For governments and healthcare providers, empathic design translates into more accessible services, more efficient workflows, and better human outcomes. For private companies, it builds loyalty and trust in a market where functional parity is easily achieved but emotional connection is rare.

As a hands-on researcher, I’ve seen firsthand how empathy changes not just what we design, but how we design. It transforms a usability test into a moment of shared insight, a diary study into a narrative of lived experience, and a service blueprint into a story of frustration and relief. But empathy cannot remain a nebulous aspiration. To drive organisational change, it must be defined, operationalised, and yes, measured. This is where the concept of an Empathy Index comes in.

Empathy in Practice: From Research to Design

Before we explore measurement, it’s worth revisiting how empathy is cultivated in the research process itself. At its core, empathy is not a “research method,” but rather a research posture that embodies an attitude of curiosity, humility, and openness. The following practices bring empathy to life:

  • Personas and empathy maps humanise target users by capturing not just demographics but also hopes, fears, and frustrations. A well-crafted persona invites the design team to step into someone’s lived world, moving beyond stereotypes toward authentic understanding.
  • Journey maps extend this lens across time, highlighting the emotional highs and lows of an experience. They surface “moments of truth” where empathy or its absence defines how the user feels about the entire journey.
  • Participatory design goes one step further, shifting empathy from imagined to co-created. By inviting users into ideation and prototyping, we dissolve the researcher–participant divide and create products that genuinely reflect user voices.

These practices cultivate what I call “research-based empathy”: insights grounded not in assumptions but in evidence of real human experience.

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Toward an Empathy Index: Making the Intangible Measurable

The challenge is not whether empathy matters; it’s how to make it durable in organisations that live on metrics. My proposal is an Empathy Index, a composite measure of how well a product or service resonates with users both emotionally and functionally. Like NPS measures loyalty, an Empathy Index would measure felt understanding.

1. Qualitative Foundations

Empathy begins in stories, not numbers. Ethnographic research, in-depth interviews, and diary studies reveal recurring emotional themes: confusion during sign-up, relief after a successful transaction, and shame triggered by poorly worded messages. These become the basis of empathy criteria, such as:

  • “Users feel respected during error recovery.”
  • “Users feel in control of their data.”
  • “Users feel supported during moments of vulnerability.”

2. Quantitative Indicators

To scale these insights, we translate them into measurable survey items and behavioural proxies. For example:

  • Agreement with statements like “This app understands my needs” or “I feel respected when using this service.”
  • Customer Satisfaction (CSAT) and Customer Effort Score (CES) are indirect measures of empathy.
  • Sentiment analysis of open feedback and app-store reviews.
  • Behavioural analytics (e.g., abandonment rates at high-stress moments) as indicators of unmet emotional needs.

3. Composite Scoring

The Empathy Index is not a single metric but a composite of user perception, behavioural outcomes, and expert evaluation. A score might be represented on a 0–100 scale, benchmarked across products. For example, a healthcare app scoring 85 may demonstrate strong user perception of being “understood,” while a financial app scoring 62 may reveal gaps in clarity and reassurance during high-stakes interactions.

4. Standardisation

To be actionable, the Empathy Index must be standardised. Core survey questions and evaluation criteria remain constant across products, while domain-specific nuances are layered on top. This enables comparisons across portfolios and allows organisations to identify empathy leaders and laggards within their ecosystem

Case Studies: Empathy in Action

Examples across industries illustrate how empathy can be operationalised:

  • Healthcare (GE’s “Adventure Series” MRI): By reimagining intimidating machines as child-friendly adventures, GE raised patient satisfaction by 90% while reducing anaesthesia rates. The empathy insight, seeing the MRI through a child’s fearful eyes, transformed both patient well-being and operational efficiency.
  • Government (Immigration Case Management): By observing caseworkers and applicants directly, designers identified bottlenecks and emotional stressors, leading to redesigns that increased application processing throughput by 19% empathy unlocked efficiency.
  • Digital Health (ICU Communication App): Co-designed with nurses and patients, this app enabled voiceless ICU patients to express basic needs. Empathy here wasn’t imagined; it was co-created, producing a tool that truly “spoke” to its users.

These cases demonstrate that empathy is not abstract; it delivers tangible value in both human and business terms.

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Benefits and Challenges of Scaling Empathy Metrics

Scaling an Empathy Index offers significant benefits:

  • Alignment: Establishes empathy as a shared priority across teams.
  • Continuous improvement: Provides feedback loops for iterative refinement.
  • Benchmarking enables comparison across products and identifies best practices.
  • Strategic value: Correlates with loyalty, adoption, and brand trust.

But challenges remain:

  • Defining empathy without oversimplifying.
  • Avoiding metric fatigue for both users and teams.
  • Balancing global standardisation with cultural and domain specificity.
  • Preventing “gaming” of the metric (e.g., cosmetic fixes that raise scores but don’t address root issues).

The lesson: metrics must be paired with stories. An Empathy Index score should always be accompanied by a real user quote, narrative, or observation that humanises the number.

Sample Instrument for quantifying empathy

A. User Survey Items

(5-point Likert scale: Strongly Disagree → Strongly Agree)

Cognitive Empathy:

  • “This product anticipates where I might get confused.”
  • “I feel the design was created with someone like me in mind.”

Affective Empathy:

  • “Using this product makes me feel respected.”
  • “I feel supported when something goes wrong.”

Behavioural Empathy:

  • “I feel in control when I use this product.”
  • “This product responds to my needs in a timely and transparent way.”

Add 1–2 open-ended items:

  • “Describe a time when you felt understood (or not) while using this product.”
  • “What’s one thing the product could do to better support you?”

B. Observational / Analytics Measures

  • Behavioural data: Drop-off rates at stressful moments (sign-up, checkout, support forms).
  • Sentiment analysis: Reviews, feedback, and support tickets coded for emotional tone.
  • Accessibility compliance: Checklist scoring inclusivity features as “met/not met.”

Composite Empathy Index Scoring

  1. Survey Score (50%) – Average across all empathy items.
  2. Behavioural Indicators (30%) – Drop-off rates, response times, accessibility compliance.
  3. Sentiment & Qualitative Insights (20%) – User quotes and review sentiment analysis.

Scores are normalised into a 0–100 Empathy Index, with thresholds:

  • 80–100: High empathy (exemplary design).
  • 60–79: Moderate empathy (room for improvement).
  • <60: Low empathy (risk of alienation, usability gaps).

Conclusion

Empathy as a Strategic Imperative

For senior UX leaders and researchers, empathy is not just a personal virtue it is a professional responsibility and a strategic imperative. By embedding empathy in research practices and institutionalising it through frameworks like an Empathy Index, organisations can create products that not only work but also connect.

In a world where users are bombarded by choice and technology often feels dehumanising, empathy is the differentiator. It reminds us that behind every click is a person with fears, hopes, and expectations. And it challenges us as researchers, designers, and leaders to ensure that those voices are not just heard but felt in every decision we make.

Dr Asma Qureshi

Experience Research and Insights Director

Dr Asma is a customer-centric researcher who blends UX, CX, and data-driven insights to uncover what truly drives consumer behaviour. With expertise in strategic research planning, stakeholder engagement, and vendor partnerships, she translates complex data into actionable strategies that drive results. Passionate about improving experiences, she helps businesses tap into customer needs and deliver game-changing outcomes

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