Regulatory Mode Theory: S-Tier Behavioral Designer’s Guide

Two people stare at the same goal. One launches into action before the kettle boils. The other is still tab-shopping, comparing reviews, building a spreadsheet. Both genuinely want to succeed. Neither one is broken. They are running two different self-regulatory engines, and most products on the internet pretend only one of them exists.

Arie Kruglanski and a small team of social psychologists named those engines in 2000 and called the whole map Regulatory Mode Theory. It is the most under-used self-regulation framework in behavioral design, and it is doing quiet damage every day to onboarding flows, productivity tools, learning products, and almost every checkout page that treats users as one homogeneous “decisive shopper.”

This is the guide I wish every product manager, UX designer, and learning designer had read before they shipped their last “just one button” onboarding or their “compare 12 plans on one page” pricing screen. Read it once and you will never again think of self-regulation as a single dial.

Speed Run Notes

• Two engines, not one stick. Locomotion (“just do it”) and Assessment (“do the right thing”) are orthogonal — a person can be high on both, low on both, or asymmetric. Don’t draw them as endpoints of a spectrum.
• Locomotors initiate; Assessors evaluate. Locomotion predicts action onset, persistence, and decisiveness. Assessment predicts comparison, second-guessing, and “maximizer” behavior à la Schwartz.
• Mode is process; Focus is content. Regulatory Mode is the HOW of self-regulation; Higgins’s Regulatory Focus (promotion vs prevention) is the WHAT. The two frameworks compose, they don’t compete.
• The full self-regulator is high on BOTH. Picks the right thing AND then actually does it. Most products optimize one quadrant and bleed users from the other three.
• Design implication. Stage Assessment heavily before the commitment point, then funnel into Locomotion-heavy execution. Mismatching the mode to the moment is the silent killer of conversion and retention.
• Octalysis maps cleanly. Locomotion runs on Core Drives 2, 3, 7. Assessment runs on Core Drives 4, 5, 8. Design for both, or pick a smaller market.

Author Credibility: Yu-kai Chou

Yu-kai Chou created the Octalysis Framework after studying gamification since 2003 — years before the term entered mainstream vocabulary. As a Human-Systems Architect & Behavioral Designer, his framework has been applied by LEGO, Microsoft, Porsche, Coca-Cola, Salesforce, and MrBeast, impacting over 1.5 Billion Users.

Chou has taught the Octalysis methodology at Harvard, Stanford, Yale, Tesla, Google, BCG, and IDEO.

His work has been cited by Harvard, Stanford, MIT, Forbes, Wall Street Journal, Wired, US Department of Energy, NIST, NSF, NCBI, US Department of Education, ClinicalTrials.gov, and Google Scholar — with 3,700+ more academic publications. Explore his books here.

What Is Regulatory Mode Theory?

Regulatory Mode Theory is a model of self-regulation introduced by Arie Kruglanski and colleagues in a paper with one of the most quotable subtitles in social psychology: “To ‘Do the Right Thing’ or to ‘Just Do It’: Locomotion and Assessment as Distinct Self-Regulatory Imperatives” (Kruglanski, Thompson, Higgins, Atash, Pierro, Shah, & Spiegel, 2000, Journal of Personality and Social Psychology, 79(5), 793-815).

The team’s claim was simple, and at the time, slightly heretical. Self-regulation, they argued, is not one thing. It is at least two, and these two things often pull in opposite directions inside the same person at the same time.

The first is Locomotion: the inclination to initiate movement and keep moving from one state to the next. Locomotion is what gets you out of bed in the morning. It is what makes you start the workout, send the email, ship the draft, leave the meeting. It is bias toward motion.

The second is Assessment: the inclination to critically compare, evaluate, and judge — alternatives against alternatives, means against ends, current state against ideal state. Assessment is what makes you read all the reviews, open seventeen tabs, build the spreadsheet, ask “is this really the right tool?” It is bias toward judgment.

Most people, most self-help books, and most onboarding designers treat these two as opposite poles of one trait. They are not. They are orthogonal. Kruglanski’s empirical contribution was to show, across a series of validation studies, that scores on Locomotion and Assessment are roughly uncorrelated. You can be high on both, low on both, or strong on one and weak on the other, and the four resulting profiles produce dramatically different behavior in the real world.

If you have ever worked with someone who plans relentlessly and never ships, you have met a high-Assessment, low-Locomotion person. If you have ever worked with someone who ships constantly but ships the wrong things, you have met a high-Locomotion, low-Assessment person. And if you have ever met someone who reliably picks the right move and then actually executes it, that person is high on both, which is exactly as rare as it sounds.

Locomotion and Assessment: Two Distinct Self-Regulatory Functions

Before we get to the design implications, sit with the theory for a moment. Kruglanski’s claim of independence is more aggressive than it first appears. The standard intuition, and one that survives in pop-psychology framings of “thinkers vs doers” — is that thoughtful people are the slow people, and decisive people are the unreflective ones. Mode theory rejects this. Thoughtfulness and decisiveness, in this view, draw from separate motivational reservoirs.

Locomotion: The “Just Do It” Engine

Locomotion is the urge to move. The Regulatory Mode Questionnaire’s Locomotion items capture it directly: “I am a ‘doer,’” “When I finish one project, I do not waste time getting started on a new one,” “By the time I accomplish a task, I already have the next one in mind.” The flavor is not enthusiasm. It is restlessness. The discomfort of staying still when there is somewhere to be.

Locomotion predicts a constellation of behaviors. High-Locomotion people start tasks faster, persist longer when tasks become boring or fatiguing, and report less subjective tiredness during repeated effort (Kruglanski et al., 2000; Pierro, Kruglanski, & Higgins, 2006). They make more decisions per unit time, but those decisions are not necessarily worse — Locomotion does not predict carelessness, only velocity.

There is a dark side. High Locomotion correlates with impatience, lower tolerance for delay, and a willingness to bail on a careful evaluation in order to keep moving. In contexts where the right answer requires patient comparison — picking a graduate program, choosing a long-term partner, making a six-figure purchase — pure Locomotion is dangerous.

Assessment: The “Do the Right Thing” Engine

Assessment is the urge to evaluate. The questionnaire items map onto this directly: “I often compare myself with other people,” “I spend a great deal of time taking inventory of my positive and negative characteristics,” “I am a critical person.” Where Locomotion is biased toward motion, Assessment is biased toward judgment — including, harshly, judgment of the self.

Assessment predicts a different constellation: more careful decisions, more accurate self-knowledge, better academic performance in environments that reward analysis, and more willingness to entertain disconfirming evidence (Kruglanski et al., 2000; Avnet & Higgins, 2003). High-Assessment people are the ones who actually read the user manual and the small print. They are the auditors, the strategists, the wine reviewers, the medical second-opinion seekers.

The dark side here is real and well-documented. High Assessment correlates with rumination, regret, counterfactual thinking, depression risk, and the “maximizer” behavior described in Schwartz’s Paradox of Choice. The tendency to keep searching for a better option even after finding a good one (Schwartz et al., 2002). When Assessment runs without Locomotion, you get analysis paralysis. When it runs without compassion, you get chronic self-criticism.

Why Independence Is the Whole Point

If Locomotion and Assessment were just two ends of one stick, Mode Theory would be a footnote to existing personality work. Its claim to a chair at the self-regulation table rests on independence. Across the original validation studies and subsequent meta-analytic work (Pierro, Giacomantonio, Pica, Kruglanski, & Higgins, 2013), the inter-scale correlation between Locomotion and Assessment hovers around r = .00 to .15 — close enough to zero that we can treat them as separate machinery.

This is what makes the theory designable. If you could only optimize for one axis, behavioral design would always involve trade-offs between speed and quality. Because the axes are independent, you can — at least in principle — design products that simultaneously satisfy decisive doers and careful evaluators. Most products fail to do this. The ones that succeed (Amazon’s “see 4,000 reviews” + “Buy with 1-Click” pairing is the canonical example) compound advantages.

The Four Quadrants: Mapping Self-Regulatory Style

Drop Locomotion on the x-axis and Assessment on the y-axis and you get four quadrants. They are not personality boxes in the Myers-Briggs Type Indicator (MBTI) sense — Mode is a state-trait blend that shifts with context, but they are useful behavioral archetypes for design work.

High Locomotion + High Assessment: The Full Self-Regulator

Picks the right thing and then actually does it. This is the rare, expensive, and competitive profile. In organizational research it correlates with leadership emergence, sales performance in complex B2B environments, and entrepreneurial success in markets where both speed and judgment matter (Pierro & Kruglanski, 2008).

The cost is intensity. Full self-regulators run hot. The same energy that drives both engines simultaneously also tends to drive overwork, ambition that overshoots family time, and the “I cannot stop thinking about this” exhaustion you find at the upper end of the high-performance distribution. Mode theory does not romanticize this quadrant.

High Locomotion + Low Assessment: The Impulsive Doer

Acts fast, skips the right-thing check. This profile excels in environments where action itself is most of the value — fast-moving startups, sales floors, sports, military operations, anything where hesitation is the most expensive error. It fails in environments where the right move is rare and wrong moves are costly — equity investing, surgery, long-form strategy.

Impulsive doers are over-represented in early-stage entrepreneurship and under-represented in the boards that govern those entrepreneurs. The mismatch creates predictable friction.

Low Locomotion + High Assessment: The Ruminator

Plans, compares, rarely commits. This profile makes excellent advisors, researchers, critics, and auditors, and frustrated, regretful operators. The risk is the well-documented Assessment-depression link (Pierro, Leder, Mannetti, Higgins, Kruglanski, & Aiello, 2008): unchecked Assessment without the relief valve of action can degrade into rumination, and rumination is one of the most reliable predictors of major depressive episodes (Nolen-Hoeksema, 2000).

In design terms, the Ruminator is the user who reads every page of your knowledge base, watches every onboarding video, and then closes the tab without signing up. Most products lose this user silently. Treating them as a “low intent visitor” is a misdiagnosis. They are high intent — too high.

Low Locomotion + Low Assessment: The Disengaged

Neither evaluating the goal nor moving toward it. This is the profile of clinical disengagement — depression, learned helplessness, chronic burnout, certain phases of grief. Mode theory is not the right diagnostic tool here; clinical assessment is. But the quadrant is real and shows up in product analytics as the “logged in, did nothing, churned” cohort.

The design move for this quadrant is rarely to “increase motivation” with feature flags or reminders. It is to lower the cost of one small Locomotion event, one click that does one small useful thing, and let momentum compound from there.

Regulatory Mode vs Regulatory Focus: A Common Confusion

If you have read any social psychology in the last twenty-five years, you have probably met Higgins’s Regulatory Focus Theory. The promotion-focus / prevention-focus distinction (Higgins, 1997). Promotion-focused people pursue gains and ideals; prevention-focused people pursue safety and oughts. Higgins is also one of the co-authors of the original Regulatory Mode paper, which is not a coincidence. The two frameworks are deliberately complementary.

Here is the cleanest way to keep them apart. Regulatory Focus is about what a person is regulating toward. The content or goal-end of self-regulation. Regulatory Mode is about how a person regulates. The process or action-mechanics of self-regulation. A promotion-focused locomotor charges toward gains. A promotion-focused assessor compares paths to gains. A prevention-focused locomotor defends against losses by acting decisively. A prevention-focused assessor defends against losses by deliberating carefully.

All four cells exist. Behavioral design treats Mode and Focus as independent inputs and composes them. The product implications are different in each cell. Conflating them is the most common mistake I see designers make when they reach for “regulatory” anything in their writeups.

What Kruglanski Got Right

Three things, none of them trivial.

First, the orthogonality claim survived empirical attack. Two decades of replication, including studies in cross-cultural samples (Pierro et al., 2013), have consistently found that the Locomotion-Assessment correlation is functionally near zero. This is unusual in personality work, where most “distinct” constructs end up sharing more variance than their authors hoped. Mode Theory’s two engines stayed separate.

Second, the action-vs-judgment cut is a more useful design abstraction than thinker-vs-doer. The folk-psychology version pits thinking against doing, which forces designers into false trade-offs (“Do we want analytical users or engaged users?”). Mode Theory says you want both, and they are not in conflict at the trait level. The conflict is at the moment level: any single user, at any single moment, is doing more of one or the other.

Third, the theory predicts outcomes the existing literature could not. Mode scores predict procrastination patterns, regret intensity, leadership-emergence in groups, romantic-relationship maintenance behavior, and persistence in repetitive cognitive tasks, all incremental over Big Five personality, Need for Cognition, and Regulatory Focus (Pierro, Kruglanski, & Higgins, 2006; Mauro, Pierro, Mannetti, Higgins, & Kruglanski, 2009). When a new psychological construct adds incremental predictive power over the established ones, that is the test. Mode passed it.

Where Regulatory Mode Theory Falls Apart

I am a fan of Mode Theory, which is exactly why I want to be honest about its weak points.

It Overlaps with Conscientiousness

The biggest empirical complaint, and the one Kruglanski’s team has had to address repeatedly, is that Locomotion looks an awful lot like the “industriousness” facet of Big Five Conscientiousness (Roberts, Chernyshenko, Stark, & Goldberg, 2005). Conscientiousness predicts action initiation, persistence, and goal completion, which is exactly what Locomotion predicts. The Mode camp argues that Locomotion is motivationally charged (“the urge to move”) where Conscientiousness is dispositional (“the tendency to be orderly and dutiful”), and that the two scales correlate around r = .30-.45, overlapping but distinct.

That distinction is real but uncomfortable. In applied work, say, a hiring screen. You would not pay for both scales. You would pick the cheaper one and accept the noise.

There Is a Tautology Risk

“Does this person act because they are high in Locomotion, or are they high in Locomotion because they act?” The questionnaire items are behavioral in form (“I am a ‘doer’”). Predicting behavior from a behavioral self-report is not deeply impressive. Mode Theory’s defenders point to experimental manipulations of Mode (priming locomotion-related concepts in lab settings shifts subsequent behavior; e.g., Avnet & Higgins, 2003) as evidence the construct is causal, not merely descriptive. Those studies are real but lab-bound.

Assessment Bleeds into Other Constructs

Assessment overlaps with maximizing tendency (Schwartz et al., 2002), Need for Cognition (Cacioppo & Petty, 1982), perfectionism (Frost, Marten, Lahart, & Rosenblate, 1990), and trait rumination (Treynor, Gonzalez, & Nolen-Hoeksema, 2003). These are all “thinking-heavy” individual-differences constructs, and the discriminant validity work is contested. If you are doing applied design and you measure Assessment, you are partly measuring all four. That may be fine for design. They are correlated for a reason, but it is not fine for theory.

What’s Really Happening Inside the Brain

Mode Theory was built without neuroscience evidence, but the neuroscience caught up. Reading Locomotion and Assessment through the lens of contemporary cognitive control research is helpful because it shows the two engines are not just metaphorical. They are anatomically and chemically distinct circuits, and they sometimes compete for the same neural real estate.

Locomotion is striatal-dopaminergic. Action initiation, persistence in the face of effort cost, and the willingness to “just go” are mediated by the basal ganglia loops, especially the dorsolateral striatum and its dopaminergic input from the substantia nigra (Salamone & Correa, 2012). When dopamine is high in these circuits, the cost of action drops and people show locomotion-like behavior. When dopamine is depleted (e.g., in Parkinson’s disease, where action initiation literally degrades), the locomotion engine sputters.

Assessment is prefrontal-cingulate. Critical evaluation, conflict monitoring, and the comparison of alternatives recruit the dorsolateral prefrontal cortex and the anterior cingulate cortex (Botvinick, Braver, Barch, Carter, & Cohen, 2001). The anterior cingulate is the “wait, is this right?” structure. It activates when the brain detects conflict between options or between an outcome and an expectation. Damage to dorsolateral prefrontal cortex impairs the careful weighing of options characteristic of high Assessment.

The two circuits interact through inhibitory control pathways anchored in the right inferior frontal cortex (Aron, Robbins, & Poldrack, 2014). Assessment can suppress Locomotion (“hold on, let me think”) by recruiting these stop-signal circuits. Locomotion can override Assessment (“enough thinking, go”) by gating the stop signal. The “pause-and-check vs go” dynamic that is observable at the personality level shows up at the neural level too.

None of this proves Mode Theory in the way personality validation studies do. But it makes the theory feel less like a clever questionnaire and more like a real map of two cooperating-and-competing neural systems. If you have ever felt your brain “freeze” mid-checkout, or felt the rush of “just clicking it” against your better judgment, you have felt these circuits negotiating.

Regulatory Mode in the Real World

Workplace and Leadership

Mode profiles segregate by role in ways you can predict from a coffee shop. Sales floors, founder-led startups, and emergency response teams over-select for high-Locomotion / lower-Assessment profiles. Audit firms, equity research desks, law firms, and academic philosophy departments over-select for the inverse. The pairing that wins long term, locomotor CEO with assessor COO, or vice versa, is a clichéd recipe in venture capital for a reason. The orthogonality of the engines is exactly what makes complementary pairing possible.

Mauro, Pierro, Mannetti, Higgins, and Kruglanski (2009) found that team performance peaks when both modes are represented and roles are matched to dominant mode. Teams with all-Locomotion profiles ship fast and miss things. All-Assessment teams analyze beautifully and never ship. Mixed teams are slower to gel and faster to outperform.

Education and Learning

Subsequent classroom studies in the Regulatory Mode tradition show that high-Assessment students earn higher grades in the average four-year university setting because grading rewards careful analysis. High-Locomotion students complete more tasks per unit time but score lower per task on careful-evaluation rubrics. Both effects are independent.

Learning design that serves only one mode loses the other. A platform that uses tight micro-lessons and immediate completion celebration (Duolingo’s streak system, classic Locomotion design) bores assessors who want to understand the underlying linguistic structure before they will commit. A platform that opens with a multi-page philosophy of the discipline (much of academic e-learning) loses locomotors before the first interactive moment.

Marketing, UX, and E-commerce

The cleanest applied case is e-commerce checkout. High-Assessment shoppers want comparison tables, side-by-side specs, “people also viewed” rails, expert reviews, and a path for returning to compare. High-Locomotion shoppers want the friction of all that comparison removed, one-click reorder, default selections, big visible “buy” affordances.

Amazon designed the entire shopping experience to serve both modes simultaneously and in sequence. Open a product page: it gives the assessor everything (4,000 reviews, expanded specs, side-by-side comparisons, Q&A, “compare with similar items”). And once the assessor has finished assessing, the locomotor’s path is one click. Most e-commerce sites pick one and lose half their market. Amazon refused to pick.

Healthcare and Behavior Change

Hagger, Koch, Chatzisarantis, & Orbell (2017), in a behavioral-change meta-analysis, found that Locomotion predicts treatment adherence: high-Locomotion patients are more likely to start a regimen and keep taking the medication. Assessment is double-edged. Moderate Assessment improves adherence (the patient understands why they are doing this). High Assessment hurts it. These are the patients who treatment-shop, second-guess prescriptions, and start the regimen, then stop to read another study.

A health-app onboarding that loads heavy Assessment (“read these 12 evidence summaries before starting”) will lose locomotors and over-recruit assessors who never start. A health-app onboarding that loads heavy Locomotion (“just track one meal!”) will lose assessors who need to understand the protocol before they trust it.

Finance, Investing, and High-Stakes Choice

Financial decisions are the cleanest case where mode-mismatch can be catastrophic. Robo-advisors built around locomotor design (“Answer 5 questions, we’ll invest your money in 30 seconds”) win the locomotor segment but lose every assessor who needs to see the underlying fund composition, the fee structure, the historical drawdowns, and the tax-loss-harvesting logic. Brokerage interfaces built for assessors (interactive charting, deep filtering, options-chain comparisons) win that segment but feel like an aviation cockpit to a locomotor trying to put $500 into index funds.

The most successful retail-finance products of the last decade learned to switch mode by surface. Robinhood’s main app stays locomotor-coded for the impulse trade. The same company’s account-overview screens lean assessment-coded for the quarterly portfolio review. Same user, different mode by context, by-design.

Romantic Relationships and Long-Term Commitment

Mauro et al. (2009) and Kumashiro, Rusbult, Finkenauer, and Stocker (2007) showed that Mode profiles predict relationship outcomes in ways most couples therapists would recognize: high-Assessment partners report more relationship satisfaction when their partner shares the analytic style, more discontent when paired with a “let’s just do it” partner who finds the constant relationship-auditing exhausting. The mismatch is repairable, but only by both partners learning to time-share modes. The Assessment partner agrees to certain “execution-only” zones (Saturday brunch is not a state-of-the-union review). The Locomotion partner agrees to certain “Assessment-protected” windows (Sunday evening is open conversation time, not a sprint planning meeting).

Mode-aware couples last. Mode-blind couples either over-evaluate the relationship into anxiety or under-evaluate it until quiet drift becomes silent erosion. The framework’s life-design utility is real, not just product-design utility.

The Elephant in the Room: Why So Few Products Design for Both

If Mode Theory is twenty-five years old, the orthogonality finding has replicated, the design implications are obvious, and the commercial upside of serving both modes is well-documented, why is the e-commerce, SaaS, and learning-product landscape still littered with locomotion-only and assessment-only experiences?

Three reasons, and they compound.

The first is that founders self-select for Locomotion. Founder-built products tend to reflect the founder’s own mode. The CEO who would not stop to read three reviews before clicking “ship” builds a product that does not stop to show reviews. Assessment-heavy users feel like an afterthought because, to the founder, they basically are.

The second is that conversion-optimization orthodoxy worships Locomotion. The dominant Conversion Rate Optimization (CRO) playbook of the last decade, “reduce friction,” “remove fields,” “fewer choices,” “one call to action (CTA) per page”, is locomotion-optimized. It works. It also leaves a meaningful slice of high-Assessment, high-revenue customers feeling stripped of the comparison signals they need to commit. The B2B enterprise segment is especially under-served by locomotion-only design.

The third reason is the deepest. Designing for both modes is harder. It requires staging, Assessment-heavy at the consideration phase, Locomotion-heavy at the commitment phase, and most teams do not have the structural patience to design phased experiences. They optimize the page. They do not orchestrate the journey.

The products that get this right, Amazon, the better B2B SaaS onboardings, the most effective behavior-change apps, are not magic. They have just done what Kruglanski’s theory predicts: surface Assessment when the user is choosing, then collapse the friction to zero when the user has chosen.

How to Apply Regulatory Mode Theory with the Octalysis Framework

Now I will do the thing only I can do, which is line Mode Theory up against the eight Core Drives of the Octalysis Framework and show you which design levers serve each mode. This is the practical translation. The hero map you should print and tape to your monitor:

The Locomotion Stack: Core Drives 2, 3, 7

Locomotion thrives when there is something to move toward. The Core Drives that feed it directly are:

Core Drive 2 (CD2): Development & Accomplishment. The progress engine. Progress bars, levels, achievement unlocks, streaks. These are pure locomotion fuel. A locomotor sees “78% complete” and feels the pull toward 100%. The CD2 design pattern (Step-by-Step Onboarding, Win-Streaks, Mini Quests, Visible Trophy Shelf) is the entire locomotor’s playground.

Core Drive 3 (CD3): Empowerment of Creativity & Feedback. The fast-iteration engine. Locomotors love systems that let them act and immediately see the result. Real-time feedback, sandbox environments, low-cost retries, all reduce the cost of motion and accelerate the engine.

Core Drive 7 (CD7): Unpredictability & Curiosity. The “what’s next?” engine. Locomotors are pulled forward by the next unrevealed thing. Mystery boxes, sudden rewards, “you have a new notification”. These all trigger the dopaminergic motion engine that Mode Theory’s neuroscience predicts.

The Assessment Stack: Core Drives 4, 5, 8

Assessment thrives when there is something to weigh. The Core Drives that feed it:

Core Drive 4 (CD4): Ownership & Possession. The “is this mine” engine. Assessors carefully evaluate what they are about to own before they own it. Customization, comparison shopping, side-by-side specs, configuration screens, and the moment-before-buying review pages all serve CD4 for the assessor.

Core Drive 5 (CD5): Social Influence & Relatedness. The social proof engine. Assessors weight other people’s evaluations heavily. “4,847 reviews,” expert testimonials, “people like you bought,” and curated peer-comparison data are direct Assessment levers.

Core Drive 8 (CD8): Loss & Avoidance. The “what could go wrong” engine. Assessors deploy CD8 against themselves. They are checking for downside before committing. Guarantees, money-back policies, “no questions asked” returns, security badges, and trust signals reduce Assessment’s brake on commitment.

The Shared Stack: Core Drives 1 and 6

Core Drive 1 (CD1): Epic Meaning & Calling sits above the Mode distinction. Both engines run hotter when there is meaning underneath. CD1 is the constant that lifts the whole stack, but it does not preferentially serve one mode.

Core Drive 6 (CD6): Scarcity & Impatience is the most interesting case. On the surface it looks locomotor-coded, “Only 3 left! Buy now!” pushes for action. But scarcity also triggers Assessment in high-stakes contexts (when a scarce thing is expensive, assessors evaluate harder, not faster). CD6 is the most commonly misused drive against assessors. Used carelessly, it triggers Reactance Theory backfire (Brehm, 1966) and pushes assessors away faster than it pushes locomotors forward.

The Octalysis × Mode Design Rule

The cleanest applied rule from this entire framework: stage Assessment first, then transition to Locomotion at the commitment moment, then close with Assessment-friendly aftermath.

Before commitment, lead with CD4/CD5/CD8, give the assessor everything they need to weigh the decision. At the commitment moment, collapse to CD2/CD3/CD7, make the action friction-free and immediately rewarding. After commitment, return to CD4/CD5/CD8, let the assessor confirm they made the right choice, with order confirmation, review prompts, and “here’s what to expect next” sequences.

This is the journey Amazon designed. It is the journey the best SaaS onboardings design. It is the journey almost no startup designs on its first pass. The Octalysis-by-phase view (see the Octalysis Strategy Dashboard) is how you operationalize it.

One subtle move that distinguishes Mode-aware design from generic CRO playbooks: the Octalysis Core Drives are not all activated by the same UI affordances. Locomotion-fed CD2 wants visible progress with momentum (filled bars, climbing levels, streak counts that increment every action). Assessment-fed CD4 wants visible inventory with permanence (saved items, customized profiles, “you own this” possession signals). Both can sit on the same page without conflict, but they cannot share the same widget. Trying to make one progress bar serve both Locomotion’s “keep going” and Assessment’s “this is mine” usually serves neither. Design two surfaces, link them, let the user’s mode pick.

The corollary is that Mode-aware design is not pixel-perfect minimalism. It is honest pluralism inside a single product. The market’s best-loved tools, the ones users defend in arguments, almost always have this property: there is a fast path for the impatient and a deep path for the patient, and the two paths respect each other.

Seven Practical Steps to Design for Both Modes

1. Measure which mode dominates your traffic. The Regulatory Mode Questionnaire (12 items, free in Kruglanski et al., 2000) can be embedded in a one-time survey. Alternatively, behavioral proxies, average time-on-page before action, count of comparison-tab opens, ratio of “read more” clicks to “buy now” clicks, give you a directional read in your analytics today.
2. Audit each page for mode-balance. For each high-traffic page in your funnel, ask: does this serve locomotors, assessors, or both? A landing page with one CTA and no specs is locomotor-only. A spec sheet with no obvious next step is assessor-only. The good pages have both layers and let the user pick.
3. Stage the journey, do not flatten it. Map your funnel against the Rubicon Model of Action Phases. Heavy Assessment belongs in the predecisional / deliberative phase (research, comparison, awareness). Heavy Locomotion belongs in the preactional / actional phase (commit, checkout, execute). Mismatching them is the silent revenue killer.
4. Pair complementary teaming inside your own org. If your team is all locomotors, you will ship fast and miss things. If your team is all assessors, you will not ship. The org-design rule from Mauro et al. (2009) is to deliberately recruit for the other mode in adjacent roles. PM-engineer pairs, sales-marketing pairs, and founder-COO pairs benefit most.
5. Counter Assessment’s dark side with visible micro-progress. For high-Assessment users at risk of analysis paralysis, surface low-stakes “you have started” signals. A partially-filled profile, one saved item, one configured preference. Self-Perception Theory (Bem, 1967) does the rest: once the user has acted, even a little, they update their self-concept toward “person who uses this product.”
6. Counter Locomotion’s dark side with mandatory micro-pauses. For high-Locomotion users at risk of impulsive errors, build in one deliberate friction point before the most irreversible actions. A confirmation modal that names the consequence, a 24-hour cooling-off window for large purchases, an “are you sure” that means it. The CD8 (Loss & Avoidance) brake protects locomotors from themselves.
7. A/B test the staging, not just the elements. Most CRO tests vary a button color or a headline. Mode-aware testing varies the sequence, “Assessment-first vs Locomotion-first” landing-page treatments. The bigger gains come from sequence, not styling.

Frequently Asked Questions

What is Regulatory Mode Theory in one sentence?

Regulatory Mode Theory says self-regulation runs on two independent engines, Locomotion (the urge to act and keep moving) and Assessment (the urge to compare, evaluate, and judge), and that a person’s profile on both engines, not on either one alone, predicts behavior.

Who created Regulatory Mode Theory?

Arie Kruglanski and a team including Eraldo Pierro, E. Tory Higgins, Antonio Pica, James Y. Shah, Hans Atash, and David S. Spiegel introduced it in a 2000 Journal of Personality and Social Psychology paper titled “To ‘Do the Right Thing’ or to ‘Just Do It’: Locomotion and Assessment as Distinct Self-Regulatory Imperatives.”

How is Regulatory Mode different from Regulatory Focus?

Regulatory Mode is the how of self-regulation. The process by which a person regulates, focused on action initiation versus critical evaluation. Regulatory Focus (also Higgins) is the what. The content or goal-end, focused on promotion (pursuing gains) versus prevention (avoiding losses). The two frameworks are complementary, not competing.

Can I be high on both Locomotion and Assessment?

Yes, and you are looking at the rare “full self-regulator” profile. The two engines are statistically independent (correlation roughly zero), so all four quadrant combinations exist. High-both profiles tend to be high-performing but high-intensity, and are over-represented in leadership populations.

Is high Assessment bad for mental health?

Assessment is double-edged. Moderate Assessment supports accurate self-knowledge, careful decision-making, and learning from mistakes. Very high Assessment, especially without the relief valve of Locomotion, correlates with rumination, regret, and elevated risk for depressive episodes. The healthy profile is high Assessment paired with at least moderate Locomotion.

How do I measure my own Regulatory Mode?

The Regulatory Mode Questionnaire (RMQ; Kruglanski et al., 2000) has 12 items per mode that you rate on a 6-point agreement scale. Sample Locomotion item: “I am a ‘doer.’” Sample Assessment item: “I often compare myself with other people.” The full questionnaire is in the appendix of the original paper.

Does Regulatory Mode change with context?

Mode has both trait-like (stable across time) and state-like (movable by context) components. Priming studies (Avnet & Higgins, 2003) show that activating one mode via context can shift behavior temporarily. Long-term, individual differences dominate, but in the short term, context can swing your effective mode meaningfully.

Why don’t more products design for both modes?

Three reasons: founders self-select for Locomotion and build products that reflect their own mode; the dominant conversion-rate-optimization playbook of the last decade is locomotion-coded (“reduce friction, fewer choices, one CTA”); and designing staged journeys that serve both modes is harder than optimizing a single page.

How does Regulatory Mode relate to the Octalysis Framework?

Locomotion is fed primarily by Core Drive 2 (Development & Accomplishment), Core Drive 3 (Empowerment of Creativity & Feedback), and Core Drive 7 (Unpredictability & Curiosity). Assessment is fed primarily by Core Drive 4 (Ownership & Possession), Core Drive 5 (Social Influence & Relatedness), and Core Drive 8 (Loss & Avoidance). The cleanest design pattern is to stage Assessment first (consideration phase) and transition to Locomotion at the commitment moment.

Is “Locomotor” or “Assessor” a personality type I should label myself?

No. Mode is not a typology like MBTI. It is a continuous two-axis profile, and your scores can shift across life stages, contexts, and even moods. Treat the four-quadrant map as a design abstraction, not a personality verdict.

References

• Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2014). Inhibition and the right inferior frontal cortex: One decade on. Trends in Cognitive Sciences, 18(4), 177-185.
• Avnet, T., & Higgins, E. T. (2003). Locomotion, assessment, and regulatory fit: Value transfer from “how” to “what.” Journal of Experimental Social Psychology, 39(5), 525-530.
• Bem, D. J. (1967). Self-perception: An alternative interpretation of cognitive dissonance phenomena. Psychological Review, 74(3), 183-200.
• Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001). Conflict monitoring and cognitive control. Psychological Review, 108(3), 624-652.
• Brehm, J. W. (1966). A Theory of Psychological Reactance. Academic Press.
• Cacioppo, J. T., & Petty, R. E. (1982). The Need for Cognition. Journal of Personality and Social Psychology, 42(1), 116-131.
• Chou, Y. (2015). Actionable Gamification: Beyond Points, Badges, and Leaderboards. Octalysis Media.
• Frost, R. O., Marten, P., Lahart, C., & Rosenblate, R. (1990). The dimensions of perfectionism. Cognitive Therapy and Research, 14(5), 449-468.
• Hagger, M. S., Koch, S., Chatzisarantis, N. L. D., & Orbell, S. (2017). The common sense model of self-regulation: Meta-analysis and test of a process model. Psychological Bulletin, 143(11), 1117-1154.
• Higgins, E. T. (1997). Beyond pleasure and pain. American Psychologist, 52(12), 1280-1300.
• Kruglanski, A. W., Thompson, E. P., Higgins, E. T., Atash, M. N., Pierro, A., Shah, J. Y., & Spiegel, S. (2000). To “do the right thing” or to “just do it”: Locomotion and assessment as distinct self-regulatory imperatives. Journal of Personality and Social Psychology, 79(5), 793-815.
• Kumashiro, M., Rusbult, C. E., Finkenauer, C., & Stocker, S. L. (2007). To think or to do: The impact of assessment and locomotion orientation on the Michelangelo phenomenon. Journal of Social and Personal Relationships, 24(4), 591-611.
• Mauro, R., Pierro, A., Mannetti, L., Higgins, E. T., & Kruglanski, A. W. (2009). The perfect mix: Regulatory complementarity and the speed-accuracy balance in group performance. Psychological Science, 20(6), 681-685.
• Nolen-Hoeksema, S. (2000). The role of rumination in depressive disorders and mixed anxiety/depressive symptoms. Journal of Abnormal Psychology, 109(3), 504-511.
• Pierro, A., Giacomantonio, M., Pica, G., Kruglanski, A. W., & Higgins, E. T. (2013). Locomotion and the preference for multi-tasking: Implications for well-being. Motivation and Emotion, 37(2), 213-223.
• Pierro, A., & Kruglanski, A. W. (2008). “Seizing and freezing” on a significant-person schema: Need for closure and the transference effect in social judgment. Personality and Social Psychology Bulletin, 34(11), 1492-1503.
• Pierro, A., Kruglanski, A. W., & Higgins, E. T. (2006). Regulatory mode and the joys of doing: Effects of “locomotion” and “assessment” on intrinsic and extrinsic task motivation. European Journal of Personality, 20(5), 355-375.
• Pierro, A., Leder, S., Mannetti, L., Higgins, E. T., Kruglanski, A. W., & Aiello, A. (2008). Regulatory mode effects on counterfactual thinking and regret. Journal of Experimental Social Psychology, 44(2), 321-329.
• Roberts, B. W., Chernyshenko, O. S., Stark, S., & Goldberg, L. R. (2005). The structure of Conscientiousness: An empirical investigation based on seven major personality questionnaires. Personnel Psychology, 58(1), 103-139.
• Salamone, J. D., & Correa, M. (2012). The mysterious motivational functions of mesolimbic dopamine. Neuron, 76(3), 470-485.
• Schwartz, B., Ward, A., Monterosso, J., Lyubomirsky, S., White, K., & Lehman, D. R. (2002). Maximizing versus satisficing: Happiness is a matter of choice. Journal of Personality and Social Psychology, 83(5), 1178-1197.
• Treynor, W., Gonzalez, R., & Nolen-Hoeksema, S. (2003). Rumination reconsidered: A psychometric analysis. Cognitive Therapy and Research, 27(3), 247-259.

Related Reading

• Rubicon Model of Action Phases: S-Tier Behavioral Designer’s Guide. The four-phase volition model that explains where in the journey Assessment vs Locomotion belongs.
• Regulatory Focus Theory (Higgins): Promotion vs Prevention. The content-side companion framework.
• Temporal Self-Regulation Theory (Hall & Fong). The intention-behavior-gap framework that complements Mode Theory’s action-evaluation split.
• The Paradox of Choice (Barry Schwartz), where the maximizer/satisficer construct overlaps with Assessment.
• The Behavioral Framework Library. The full library of 100+ pillar guides.

WOULD YOU LIKE YU-KAI CHOU TO WORK WITH YOUR ORGANIZATION?