The Foundations of Human Check

Human Check is built on established psychology and human-centered design research. Each core experience need reflects something decades of this research have shown to shape whether an experience works for the person inside it. This document explains the thinking behind each need, and why the method treats judgment the way it does.

Every need is an opportunity. The research shows why meeting a need pays back, not merely why missing it hurts.

Threshold: is anyone locked out?

Accessibility. The research here comes from universal design and inclusive design, related traditions with a shared finding: designing for people at the edges can improve the experience for everyone. The curb cut built for wheelchairs serves the stroller, the suitcase, and the delivery cart. Captions built for deaf viewers serve the commuter on a loud train. Microsoft's inclusive design work made the point precise. Disability is not only a personal attribute but a mismatch between a person and a moment, and everyone is mismatched sometimes, through aging eyes, one free hand, a bright day. WCAG turns this knowledge into a practical map. Human Check rates Accessibility rather than scoring it because exclusion is non-compensatory, a well-established idea in decision research. Some conditions cannot be traded away against strengths elsewhere. An experience that shuts someone out is not improved for that person by being delightful for others. Every barrier removed widens reach, and the widening is measurable.

Foundational: do they feel safe and seen?

Emotions. Feelings drive judgment and behavior; they do not just follow them. Damasio showed that emotion is not the enemy of reason but part of it. Norman's emotional design research showed the same for products. How something makes people feel changes how usable they find it and how much they forgive. The framework asks whether an experience creates the feelings it needs to create, not whether it feels pleasant. Appraisal research (Lazarus and others) explains why. Emotions respond to what a situation means, so a security warning should produce alertness and a confirmation should produce relief. An experience that creates the right feelings gets returned to, recommended, and forgiven its small flaws.

Trust. A leading model in trust research (Mayer, Davis, and Schoorman, 1995) proposed that people look for ability, benevolence, and integrity when deciding whether to rely on someone. Stanford's web credibility research (Fogg) showed how heavily those judgments rest on surface signals. The payoff is well documented. Trust earned once lowers the cost of every interaction that follows. People share more, hesitate less, and stay longer. Uncertainty research explains the mechanism. Trust stands in for the checking people cannot do themselves. An interface that inspires confidence turns first contact into a relationship.

Belonging. Baumeister and Leary's influential work (1995) established the need to belong as a fundamental human motivation, with measurable costs when unmet. Self-determination theory (Deci and Ryan) places relatedness among the conditions people need to function well. This need asks whether people feel seen rather than processed, and that question matters more now than ever. Wherever systems scale, and wherever AI mediates, people can be handled correctly and still feel like a data point. Recognition and dignity turn a correct interaction into a human one. In employee experience especially, they are what everything above is built on.

Functional: does it work and pay off?

Perception. First impressions of an interface form in under a second. Lindgaard and colleagues found that judgments made at 50 milliseconds already correlate strongly with judgments made at leisure, and those first impressions tend to anchor what follows. Processing fluency research (Reber, Schwarz, and others) shows that what is easy to perceive is judged more true, more likable, and more safe. The aesthetic-usability effect (Tractinsky and others) shows that interfaces perceived as attractive are experienced as easier to use. Gestalt psychology showed long ago that people perceive structure, not elements. An experience that looks and sounds right earns attention before a single word is read.

Expectations. Expectation disconfirmation theory (Oliver, 1980) remains central to satisfaction research. People judge experiences against what they anticipated, and the gap between anticipation and delivery strongly shapes the verdict. Norman's mental models explain where anticipations come from. People carry expectations built from prior experience and convention. Predictability also pays directly, because uncertainty is itself uncomfortable and orientation reduces anxiety. When people both know what to expect and get it, the experience reads as dependable, and dependable experiences accumulate trust.

Usability. Cognitive load theory (Sweller) starts from a simple fact. Working memory is small. Every unit of effort spent decoding an interface is a unit unavailable for the person's actual goal. The usability tradition, from Nielsen's heuristics to recognition over recall and progressive disclosure, is a catalog of ways to spend less of that budget. The benefit compounds. Every point of effort removed returns as speed, confidence, and completed journeys. That is why usability gains show up in outcomes far beyond the interface itself.

Control. Autonomy is one of the pillars of self-determination theory, and perceived control has its own deep literature. Langer showed people function measurably better when they feel agency. Seligman's learned helplessness research showed what its absence does. Brehm's reactance theory showed that people push back when choice is taken away. Reversible actions, clear exits, informed consent, and meaningful choice are what this research looks like in practice. Room to make and unmake decisions produces an experience people stay in willingly. That is the only kind of staying that lasts.

Value. Research on perceived value describes a simple accounting (Zeithaml, 1988): people weigh what an interaction gives them against the time, effort, and attention it costs, and the balance shapes whether they return. Polish cannot substitute for usefulness. A beautiful, effortless touchpoint that delivers nothing still runs at a loss. Every touchpoint that earns its place with a clear, proportionate benefit builds goodwill, and goodwill is the budget future touchpoints spend.

Enhancing: do they want to come back?

Engagement. Intrinsic motivation, doing something for the pull of the thing itself, outlasts and outperforms external reward (Deci and Ryan). The overjustification studies sharpened the point, and a later meta-analysis drew the boundary: expected tangible rewards can undermine intrinsic motivation, while positive feedback tends to strengthen it (Deci, Koestner, and Ryan). Csikszentmihalyi's flow research describes the state engagement design aims at: absorbed, capable, wanting to continue. Engaged people stay longer, explore further, and return unprompted. No incentive program can purchase that for long.

Surprise and Delight. Memory research explains why the unexpected punches above its weight. The peak-end rule (Kahneman and colleagues) shows that experiences tend to be remembered by their most intense moment and their ending, more than by their duration or their average. The von Restorff effect shows the distinctive is what gets retained. Hedonic adaptation explains the other half. The expected, however good, fades to baseline. A well-placed positive surprise becomes the story a person tells about the experience. The same research carries a warning. Surprise that violates needs rather than exceeding expectations reads as disruption. That is why this tier sits last, on top of foundations that hold.

Why the method works the way it does

The tiers. The layered structure may recall Maslow's hierarchy. Its closer roots are Herzberg and Kano. Herzberg's two-factor theory distinguished hygiene factors, whose absence hurts but whose presence merely permits, from motivators, which actively pull. The Kano model refined this for products with must-be qualities, performance qualities, and delighters. Human Check's tiers apply that logic to experiences. Threshold and Foundational needs behave like must-be qualities, Functional needs like performance qualities, and Enhancing needs like delighters, which only land when the layers beneath them hold. The tiers are a recommended attention order, not a strict mathematical hierarchy: nothing is weighted or summed across them, and the one absolute rule is the Threshold, where exclusion cannot be traded away. The closing line of the Core Experience Needs framework reflects Kano's other lesson. The weighting of these needs shifts by touchpoint and industry, and delighters migrate toward expectations over time.

Absolute scores, never averages. Negativity bias is well documented across psychology (Baumeister and colleagues, "Bad Is Stronger than Good"). A single broken need can outweigh several strong ones, and that is exactly the signal an average erases. Human Check turns that asymmetry into a deliberate design rule: every score stays visible, so a touchpoint excellent in four places and quietly broken in one shows both.

Evidence grades. Judgment and confidence are not the same thing. The calibration literature (Kahneman and Klein, and the expertise research) shows they can come apart, in experts as much as anyone. Recording whether a judgment is verified, observed, or anecdotal separates the read from the weight it deserves. A strong opinion held on thin evidence becomes visible as exactly that.

Commit-then-reveal. Independent judgment before group exposure is a long-standing correction in social psychology. Asch showed how conformity bends individual reads. Anchoring research showed how the first number spoken moves every number after. Janis documented what deference to the room produces. The Delphi method and the wisdom-of-crowds literature agree on the remedy. Collect judgments independently, then compare. Human Check builds the remedy into the mechanics, so divergence survives long enough to be discussed. Disagreement arrives as signal, not noise.

Hypothesis, then verification. Expertise research carries a humbling result. Practitioners can systematically misjudge how novices and outsiders experience what they know well. The literature calls it the curse of knowledge. Human Check treats every check as an informed hypothesis for that reason, and keeps a path open to test the team's read against what customers report experiencing. Where the two diverge, the gap is not a failure of the method. It is the method working, pointing at exactly the place where assumptions and reality part ways.

What this is and is not

Human Check does not claim to be a psychometric instrument, and this document does not claim the literature proves the framework. It claims something more modest and more useful. Each of the Core Experience Needs draws on mechanisms established in the research literature. The method's rules are designed around documented limits of unstructured judgment. The whole is arranged so a team's honest reads become visible, comparable, and testable. It complements research with real users; it does not replace it. The foundations are there so the ritual can be trusted, and the ritual is there so the foundations get used.

Selected sources

Threshold

W3C Web Accessibility Initiative. Web Content Accessibility Guidelines (WCAG).
Mace, R. L. (1985). Universal Design: Barrier Free Environments for Everyone.
Holmes, K. (2018). Mismatch: How Inclusion Shapes Design.

Foundational

Damasio, A. (1994). Descartes' Error: Emotion, Reason, and the Human Brain.
Norman, D. (2004). Emotional Design: Why We Love (or Hate) Everyday Things.
Lazarus, R. S. (1991). Emotion and Adaptation.
Mayer, R. C., Davis, J. H., and Schoorman, F. D. (1995). An Integrative Model of Organizational Trust.
Fogg, B. J., et al. (2001). What Makes Web Sites Credible?
Baumeister, R. F., and Leary, M. R. (1995). The Need to Belong: Desire for Interpersonal Attachments as a Fundamental Human Motivation.
Deci, E. L., and Ryan, R. M. (2000). The "What" and "Why" of Goal Pursuits: Human Needs and the Self-Determination of Behavior.

Functional

Lindgaard, G., et al. (2006). Attention Web Designers: You Have 50 Milliseconds to Make a Good First Impression.
Reber, R., Schwarz, N., and Winkielman, P. (2004). Processing Fluency and Aesthetic Pleasure.
Reber, R., and Schwarz, N. (1999). Effects of Perceptual Fluency on Judgments of Truth.
Tractinsky, N., Katz, A. S., and Ikar, D. (2000). What Is Beautiful Is Usable.
Oliver, R. L. (1980). A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions.
Norman, D. (2013). The Design of Everyday Things.
Sweller, J. (1988). Cognitive Load During Problem Solving: Effects on Learning.
Nielsen, J. (1993). Usability Engineering.
Langer, E. J., and Rodin, J. (1976). The Effects of Choice and Enhanced Personal Responsibility for the Aged.
Seligman, M. E. P. (1975). Helplessness: On Depression, Development, and Death.
Brehm, J. W. (1966). A Theory of Psychological Reactance.
Zeithaml, V. A. (1988). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence.

Enhancing

Deci, E. L., and Ryan, R. M. (2000). The "What" and "Why" of Goal Pursuits: Human Needs and the Self-Determination of Behavior.
Csikszentmihalyi, M. (1990). Flow: The Psychology of Optimal Experience.
Lepper, M. R., Greene, D., and Nisbett, R. E. (1973). Undermining Children's Intrinsic Interest with Extrinsic Reward.
Deci, E. L., Koestner, R., and Ryan, R. M. (1999). A Meta-Analytic Review of Experiments Examining the Effects of Extrinsic Rewards on Intrinsic Motivation.
Kahneman, D., Fredrickson, B. L., Schreiber, C. A., and Redelmeier, D. A. (1993). When More Pain Is Preferred to Less: Adding a Better End.
von Restorff, H. (1933). Über die Wirkung von Bereichsbildungen im Spurenfeld.
Frederick, S., and Loewenstein, G. (1999). Hedonic Adaptation.

The method

Herzberg, F., Mausner, B., and Snyderman, B. B. (1959). The Motivation to Work.
Kano, N., Seraku, N., Takahashi, F., and Tsuji, S. (1984). Attractive Quality and Must-Be Quality.
Baumeister, R. F., Bratslavsky, E., Finkenauer, C., and Vohs, K. D. (2001). Bad Is Stronger than Good.
Kahneman, D., and Klein, G. (2009). Conditions for Intuitive Expertise: A Failure to Disagree.
Asch, S. E. (1956). Studies of Independence and Conformity.
Tversky, A., and Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases.
Janis, I. L. (1972). Victims of Groupthink.
Dalkey, N., and Helmer, O. (1963). An Experimental Application of the Delphi Method to the Use of Experts.
Surowiecki, J. (2004). The Wisdom of Crowds.
Camerer, C., Loewenstein, G., and Weber, M. (1989). The Curse of Knowledge in Economic Settings.

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