Gamification has a credibility problem. Not because the underlying psychology is flawed, but because most organisations implement it backwards. They add badges to a compliance module, put a leaderboard on a sales dashboard, and award points for logging into the LMS. Then they report high engagement figures, wonder why performance has not improved, and conclude that gamification does not really work.
It does work. When it is designed to drive the behaviours that produce the outcomes you actually care about, gamification is one of the most powerful mechanisms available for changing what people do, how consistently they do it, and how much they improve over time. The organisations getting extraordinary results from gamification are not using more badges. They are connecting every mechanic in their system to a specific, measurable KPI and designing the feedback loops that make improvement visible, meaningful, and self-sustaining.
This article shows you how to build those systems: from selecting the right KPIs to choosing the mechanics that influence them, designing for fairness across cross-generational teams, avoiding the most common failure modes, and measuring whether the gamification is actually moving the numbers it was built to move.
Key Takeaways
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48% Higher engagement with learning content when gamification mechanics are connected to real performance goals rather than participation alone |
3 Questions every gamification system must answer before a single mechanic is chosen: what KPI, what behaviour, and what feedback loop |
Intrinsic The type of motivation that produces lasting behaviour change. Gamification fails when it replaces intrinsic motivation rather than amplifying it. |
90 days The minimum timeframe for measuring whether a gamification system is producing the KPI movement it was designed to drive |
- Gamification that drives KPIs starts with the KPI, not with the mechanic. Choosing points, badges, and leaderboards before defining the target behaviour and business outcome is the single most common design failure.
- The most effective gamification systems are built on Self-Determination Theory: they amplify feelings of competence, autonomy, and relatedness rather than substituting external rewards for internal motivation.
- Leaderboards are the most powerful and most dangerous mechanic. Used incorrectly, they demotivate the majority while rewarding the already high-performing minority who needed the least encouragement.
- Gamification must be designed with cross-generational and cross-cultural fairness in mind. Systems that work for one demographic profile can actively alienate others.
- The feedback loop is the most underinvested component of most gamification systems. Without rapid, specific, meaningful feedback, points and badges produce activity without learning or performance improvement.
- Gamification and accountability are closely connected. The most effective systems make progress transparent, create social commitment, and build in structured reflection that converts game performance into real-world behaviour change.
Why Most Gamification Fails to Move KPIs
The global gamification market is growing rapidly, and adoption in corporate L&D has accelerated significantly. Yet the evidence on whether gamification actually improves business performance, as opposed to engagement metrics, remains mixed. Understanding why so many implementations fail to move KPIs is essential before designing one that does.
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Failure Mode 1 Mechanics chosen before objectives defined The most common mistake: “Let’s add gamification to our onboarding” leads to a points-and-badges system that rewards module completion rather than the specific behaviours and knowledge that predict new hire performance. Activity is gamified rather than the outcome that matters. |
Failure Mode 2 Extrinsic rewards crowding out intrinsic motivation When points and prizes become the reason for the behaviour, the behaviour stops when the reward does. Research consistently shows that external rewards can undermine intrinsic interest in activities that people previously found inherently motivating. The prize becomes the goal, not the performance. |
Failure Mode 3 Leaderboards that demoralise the majority A global leaderboard in a team of 50 has one person in first place and 49 people who are not. For those in the bottom half, the leaderboard is not a motivator. It is a public display of relative failure. Unless carefully designed, leaderboards reward those who need motivation least and actively discourage those who need it most. |
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Failure Mode 4 No meaningful feedback loop Points awarded for completing an action tell the participant they completed the action. They do not tell them how well they performed it, what they could improve, or how their performance connects to the business outcome the system is designed to drive. Without meaningful feedback, gamification produces activity counts, not learning or improvement. |
Failure Mode 5 Gaming the game When participants identify that points can be earned faster by gaming the system than by performing the target behaviour, they will game it. Clicking through modules quickly, submitting near-duplicate answers, or only doing activities that are highly rewarded are all rational responses to a poorly designed points system. The metric is optimised; the behaviour is not. |
Failure Mode 6 No connection to real performance data A gamification system that operates entirely within an LMS or a training platform, disconnected from the sales data, quality metrics, customer satisfaction scores, or productivity figures it is supposed to influence, cannot demonstrate that it is moving KPIs. The data to prove it is working simply does not exist. |
Each of these failure modes has a design solution. Addressing them before implementation is what separates gamification systems that drive KPIs from those that drive completion rates.
For broader context on why training programmes fail to change behaviour, our article on key reasons why corporate training programmes fail covers the structural issues that affect gamification just as much as any other L&D intervention. And our article on how to deal with resistance to training programmes addresses the motivational dynamics that poorly designed gamification can trigger and amplify.
🎮 Explore the evidence base for gamification in corporate learning
Our companion article on using gamification to improve learner engagement covers the psychological foundations and engagement mechanics in depth, providing the essential context for the KPI-connected design framework in this article.
The Psychology That Makes KPI-Driven Gamification Work
Before choosing a single mechanic, L&D designers need to understand the psychological theory that explains when gamification works and when it backfires. Two frameworks are particularly important.
Self-Determination Theory: The Foundation
Self-Determination Theory (SDT), developed by psychologists Edward Deci and Richard Ryan, proposes that human motivation is driven by three fundamental psychological needs: competence (feeling effective and capable), autonomy (feeling in control of one’s choices and actions), and relatedness (feeling connected to others in meaningful ways).
Gamification that satisfies these three needs produces intrinsically motivated behaviour that sustains itself over time. Gamification that replaces these needs with external rewards produces behaviour that lasts only as long as the rewards do. This is why a well-designed gamification system does not feel like being managed by a point system. It feels like progress, recognition, and belonging.
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Need 1: Competence The need to feel effective Gamification satisfies this when: challenges are calibrated to be stretching but achievable, progress is clearly visible, feedback is specific and actionable, and improvement is recognised. Mechanics: skill trees, progress bars, mastery levels, personal bests, detailed performance feedback |
Need 2: Autonomy The need to feel in control Gamification satisfies this when: participants can choose their learning path, select which challenges to attempt, set their own goals within the system, and opt into competitive elements rather than being enrolled by default. Mechanics: branching paths, optional challenge modes, self-set targets, opt-in leaderboards, customisable avatars or profiles |
Need 3: Relatedness The need to feel connected Gamification satisfies this when: it creates shared goals and collaborative challenges, recognises team achievements alongside individual ones, and builds a community of practice around the shared performance journey. Mechanics: team challenges, peer recognition, collaborative quests, social feeds showing progress, shared missions |
The Octalysis Framework: Going Deeper
Yu-kai Chou’s Octalysis framework maps gamification mechanics to eight core human drives: epic meaning and calling, development and accomplishment, empowerment and creativity, ownership and possession, social influence and relatedness, scarcity and impatience, unpredictability and curiosity, and loss and avoidance. The framework is particularly useful for diagnosing why existing gamification systems are not producing the desired behaviour: usually, they are relying entirely on social influence (leaderboards) and loss avoidance (streak breaks), while completely ignoring development, accomplishment, empowerment, and meaning.
KPI-driven gamification systems that work typically engage at least four of the eight drives simultaneously, creating a motivational ecosystem rather than a single mechanic. The neuroscience of why this works is explored in depth in our article on the neuroscience of learning and how it affects training, which covers the dopamine and reward pathway mechanisms that gamification activates when designed correctly.
Step 1: Define the KPI Before Choosing Any Mechanic
The most important design decision in any gamification system is made before the system is built. It is the decision about which specific, measurable business outcome the gamification is intended to drive. Without this, every subsequent design decision is disconnected from purpose.
The KPI definition process involves answering three questions in sequence. Skipping any of them produces a system that is measuring the wrong thing, reinforcing the wrong behaviour, or both.
| Step | Question | What a Good Answer Looks Like | Common Mistake to Avoid |
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| 1 | What is the business KPI we need to move? | A specific, already-measured metric with a current baseline and a target: “Sales conversion rate from 31% to 38% by Q3” or “Customer satisfaction score from 7.2 to 8.0 by end of year” | Selecting an L&D metric as the KPI: “increase course completion to 85%” or “improve assessment scores by 10%.” These are activity metrics, not business outcomes. |
| 2 | What specific behaviours most directly drive that KPI? | Three to five observable, measurable behaviours that high performers exhibit and that research or data connects to the target KPI: “asking at least two discovery questions before proposing a solution” or “completing same-day follow-up after every client interaction” | Selecting behaviours that are easy to count rather than behaviours that are actually linked to performance: “attending more training sessions” or “reading more articles in the knowledge base” |
| 3 | What feedback will tell participants how they are doing against those behaviours? | Specific, timely, actionable feedback on the target behaviour: “Your discovery question rate this week was 1.4 per call. Top performers average 2.8. Here are the two most common discovery questions they use.” The feedback enables improvement, not just observation. | Providing feedback only on points accumulated rather than on the underlying performance: “You earned 340 points this week!” tells the participant nothing they can act on to improve. |
This three-question framework connects directly to the L&D measurement principles covered in our article on how to write measurable learning objectives. The same logic applies: if you cannot state the behaviour precisely and connect it to an observable, measurable outcome, you cannot design a gamification system that drives it. Our broader article on how to align L&D with quarterly OKRs provides the strategic framing for connecting gamification design to the business priorities that leadership is actually tracking.
Step 2: Match Mechanics to Behaviours
With the KPI, target behaviours, and feedback defined, the mechanic selection becomes significantly more straightforward. Each mechanic has a specific psychological function. Choosing mechanics based on what the system needs to do, rather than what is easiest to implement or most visually appealing, is what produces KPI-connected gamification.
The Core Mechanics and Their Functions
| Mechanic | Psychological Function | When It Drives KPIs | When It Undermines Them |
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| Points | Signal progress; quantify effort; enable comparison | Points are awarded for the target behaviour, not its proxy. A sales system awards points for qualified discovery questions asked, not for calls made. | Points are awarded for activity that is easy to game: module clicks, page views, quiz retakes. The metric diverges from the performance. |
| Badges | Recognise achievement milestones; signal identity and belonging | Badges mark genuine skill or performance thresholds that require sustained behaviour change to reach. “First client retained after a difficult conversation” has meaning. “Completed Module 3” does not. | Badges are awarded so frequently they become meaningless, or they reward activities anyone can complete without effort or improvement. |
| Leaderboards | Drive competitive motivation; make performance visible; create social pressure | Scoped to peer cohorts of similar starting ability. Based on improvement rate rather than absolute performance. Optional participation. Updated frequently enough to feel responsive. | A single global ranking where the top 10 are permanently fixed. New entrants have no realistic path to the top and disengage within days. |
| Streaks | Build consistency through loss aversion; establish habits | Tied to a daily or weekly behaviour that genuinely builds cumulative skill: daily practice conversations, weekly reflection submissions, consistent call-prep routines. | When streak maintenance becomes the goal rather than the behaviour it was designed to reinforce. Participants complete low-effort actions purely to preserve the streak. |
| Levels and progression | Signal mastery development; create a visible journey; unlock new challenges | Each level corresponds to a genuine increase in capability and performance standard. Moving from Level 2 to Level 3 reflects a real, validated performance step, not just more time spent. | Levels based purely on time or activity accumulation with no assessment of actual capability improvement. |
| Challenges and quests | Create short-term focus; build narrative engagement; prompt specific skill application | Quests require the application of a specific skill in a real work context: “Complete three same-day client follow-ups this week and document the outcomes” or “Run a bias check on your next three promotion recommendations.” | Challenges are confined to the learning platform and never require the participant to do anything in the real world. |
| Team mechanics | Drive collaborative motivation; build accountability through social commitment; connect individual to collective | Team scores are based on collective performance improvement, not just aggregate individual points. Every team member’s contribution affects the shared outcome. | Team points are simply the sum of individual points, creating no additional motivation to collaborate or support each other’s development. |
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Step 3: Design the Feedback Loop
The feedback loop is the component that converts a points-and-badges system into a performance improvement engine. Without it, gamification produces records of what happened. With it, gamification produces understanding of why it happened, what needs to change, and how to improve. The feedback loop is what makes the gamification system a learning system rather than simply a tracking system.
Effective feedback loops in KPI-driven gamification share four characteristics.
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01 Rapid Feedback delivered immediately or within 24 hours of the behaviour changes behaviour. Feedback delivered at the end of the quarter confirms what has already happened but cannot influence what is happening now. The shorter the feedback loop, the stronger the learning signal. |
02 Specific Feedback that names the exact behaviour and its outcome is actionable. “Your discovery question rate dropped to 0.8 per call this week from 1.6 last week” enables a specific change. “Your score decreased” enables nothing. Specificity is what converts feedback into a learning intervention. |
03 Comparative Feedback that shows the participant their performance relative to their own previous performance is more motivating and more equitable than feedback relative to others. “This is your best week in the past eight weeks” drives improvement without the demotivating effects of a fixed ranking. |
04 Actionable The best feedback includes or links to a specific next action: a resource, a practice activity, a coaching prompt, or a suggested experiment to try before the next feedback cycle. Without this, the participant knows what they scored but not what to do about it. |
The relationship between feedback quality and behaviour change is examined in depth in our article on how to drive behavioural change through training. The principles it covers, particularly the role of practice, feedback, and spaced reinforcement, apply directly to gamification feedback loop design. Our article on how to deliver feedback constructively provides additional guidance on the communication design that makes feedback land effectively rather than defensively.
Step 4: Design for Fairness Across a Cross-Generational Workforce
One of the most significant but least discussed challenges in corporate gamification design is the variation in how different employees respond to game mechanics. What motivates a 24-year-old sales graduate who grew up with video games may actively alienate a 52-year-old senior manager who associates game mechanics with infantilisation. Getting this wrong does not just mean the system is less effective for some people. It means active resistance from influential employees who model their scepticism to their teams.
Our article on strategies for managing cross-generational teams provides a comprehensive framework for understanding generational differences in workplace motivation and communication. Several of its insights apply directly to gamification design.
| Generational Group | Motivational Preferences | Gamification Mechanics That Resonate | What to Avoid |
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| Gen Z (born 1997+) | Instant feedback, purpose connection, social recognition, collaborative challenges | Real-time dashboards, peer recognition feeds, team quests, micro-achievements, daily feedback | Long cycles between feedback points; opaque scoring; purely individual competition |
| Millennials (born 1981-1996) | Development focus, meaningful progress, contribution to larger goals, peer collaboration | Skill progression trees, impact visualisation, mentoring mechanics, team challenges with visible contribution | Competition without purpose; rewards that feel trivial relative to the effort required |
| Gen X (born 1965-1980) | Autonomy, tangible outcomes, efficiency, recognition from leadership | Self-paced challenges, outcome-based rewards, optional participation mechanics, clear ROI of engagement | Childlike aesthetics; mandatory participation in social or competitive mechanics; points systems with no real-world value |
| Baby Boomers (born 1946-1964) | Recognition of experience, contribution to team success, credibility and respect | Mentoring rewards (points for helping others), expertise badges, narrative-driven progress, optional engagement levels | Public leaderboards that place experienced employees below younger colleagues on simplified scoring metrics; game language that feels disrespectful of professional seniority |
| Generational profiles are tendencies, not rules. Individual variation within generations is significant. The safest design principle is to build systems with multiple engagement pathways so that different types of participants can each find mechanics that resonate with them. | |||
Five KPI-Driven Gamification Designs That Produce Results
The following five system designs illustrate how the framework above translates into real-world gamification that is connected to specific, measurable business outcomes. Each design names the KPI, the target behaviour, the primary mechanics, and the feedback loop.
Design 1
Sales Conversion Improvement System
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Target KPI Sales conversion rate: 31% to 38% |
Target Behaviours Number of discovery questions per call; same-day follow-up completion rate; objection response quality (manager-rated) |
Primary Mechanics Personal improvement leaderboard (vs own previous week, not vs peers); weekly skill challenges (practice a specific technique and self-report outcome); improvement streaks; mastery badges for sustained above-target performance |
Feedback Loop Daily dashboard showing each target behaviour vs personal best and team average; weekly manager coaching conversation triggered by the data |
Design 2
Onboarding Time-to-Competency Reduction
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Target KPI Time to full productivity: 90 days to 60 days |
Target Behaviours Completing structured knowledge application tasks; seeking feedback from managers and peers; applying new skills in real tasks within the first 30 days |
Primary Mechanics Onboarding quest map with real-work milestones; team mechanic pairing new hires with buddy mentors (both earn points for interactions); unlockable responsibilities as competency is demonstrated; cohort challenges creating community among new starters |
Feedback Loop Weekly competency check-in with manager; progress map showing milestone completion vs cohort average; skills achieved unlocked visually on the new hire’s profile |
Design 3
Safety Compliance and Near-Miss Reporting
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Target KPI Near-miss reports submitted: increase by 40%; recordable incidents: reduce by 25% |
Target Behaviours Near-miss reporting; safety briefing quality; hazard identification accuracy; participation in safety conversations |
Primary Mechanics Team-based safety score (all team members’ reports contribute to shared total); points for reporting near-misses (removes stigma); expertise badges for team members who identify a hazard that prevented an incident; monthly team challenge |
Feedback Loop Each near-miss report acknowledged within 24 hours with specific feedback on what was identified and what preventive action resulted; monthly team safety score vs previous month |
Design 4
Customer Service Quality Improvement
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Target KPI Customer satisfaction score (CSAT): 7.1 to 8.0; first-call resolution: 62% to 72% |
Target Behaviours Empathy statement usage; resolution attempt completeness; hold time management; escalation appropriateness |
Primary Mechanics Call quality score progression levels; weekly “call of the week” recognition mechanic (peer-nominated excellent call); personal improvement streaks tied to CSAT score; optional peer listening and coaching pairing earning bonus points for both participants |
Feedback Loop Same-day CSAT scores with verbatim customer comments; weekly quality score summary with one specific improvement suggestion; monthly personal CSAT trend vs team average |
Design 5
Management Development and Team Engagement
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Target KPI Team engagement score: bottom quartile to top half; voluntary attrition in manager-led teams: reduce by 20% |
Target Behaviours Quality 1:1 conversations completed; development commitments made and tracked; recognition frequency; coaching question usage in team meetings |
Primary Mechanics Manager leadership score based on team-reported experience (not self-reported); monthly manager challenges tied to specific coaching or recognition behaviours; peer manager learning set with shared challenge completion; progression levels unlocking advanced leadership content |
Feedback Loop Monthly team pulse score with specific team member comments; reflection prompt after each challenge with guided self-assessment; quarterly trend showing manager score vs attrition and engagement data for their team |
Each of these designs follows the same logic: KPI first, target behaviour second, mechanic third, feedback fourth. The mechanics vary because the behaviours and the populations vary. The structure is consistent because the goal is always the same: produce sustainable improvement in a business metric that the organisation is already measuring.
For the accountability structures that keep these systems honest and prevent gaming, our articles on how to foster accountability in training programmes and how to foster accountability with practical templates and frameworks provide the management and programme design elements that gamification alone cannot supply.
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Measuring Whether Your Gamification Is Actually Moving KPIs
The question that should be asked of every gamification investment is the same question asked of every other training investment: did it move the number it was designed to move? The measurement framework for gamification is a direct application of the Kirkpatrick model, with the Level 4 business outcome as the primary success criterion.
| Kirkpatrick Level | What to Measure | How to Measure It | When to Measure |
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| Level 1: Reaction | Do participants find the system fair, motivating, and relevant to their real job? | 3-question monthly pulse: fairness, motivation, job relevance. Also track opt-out rates and voluntary participation rates. | Monthly from launch |
| Level 2: Learning | Are participants developing the skills the system is designed to build? | Pre/post skill assessments for the target behaviours; manager-rated competency at 30, 60, and 90 days | At launch and at 30, 60, 90 days |
| Level 3: Behaviour | Are participants actually doing the target behaviours more consistently and more effectively? | The gamification system’s own data (if designed to track behaviours not proxies); manager observation; peer feedback | Weekly (from system data); monthly (from human assessment) |
| Level 4: Results | Has the target KPI actually moved? By how much? Compared to what baseline and what control group? | The business metric identified at the start: conversion rate, CSAT, incident rate, engagement score, attrition. Compare gamified cohort to non-gamified equivalent group where possible. | At 90 days, 6 months, and 12 months post-launch |
| If at 90 days the Level 4 business metric has not moved, do not wait for 6 months to act. Revisit the behaviour-to-KPI connection (is the target behaviour actually a driver of the KPI?), the feedback loop quality (is it specific and timely enough?), and the mechanic fairness (is the system demotivating any participant groups?). Iterating at 90 days is far more productive than defending an unchanged system at 12. | |||
This measurement approach connects directly to the L&D dashboard principles covered in our broader framework for learning measurement. Our articles on how to assess learning impact during change and learning and development statistics every HR leader must know provide the broader measurement context that makes gamification ROI conversations with leadership credible and data-led.
For organisations that want to align gamification KPIs directly with their broader strategic priorities, our article on how to align L&D with quarterly OKRs provides the framework for connecting every learning investment, including gamification, to the objectives that leadership is already tracking and reporting.
The Accountability Layer: What Gamification Cannot Do Alone
Gamification is a powerful mechanism for shaping behaviour. It is not a replacement for the management, coaching, and accountability structures that sustain performance improvement over time. The most effective gamification systems are embedded within a broader culture of feedback, recognition, and development rather than treated as standalone solutions.
Specifically, three things must exist outside the gamification system for it to produce lasting KPI impact.
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👔 Manager reinforcement Managers must reference the system, ask about progress, celebrate improvements, and connect game performance to real job conversations. Without this, the system operates in isolation from the actual work environment. |
🔄 Reflective practice Structured reflection on what the gamification data is revealing about performance patterns converts game scores into genuine self-insight. Without reflection, participants know their score but not what it means for their development. |
📈 Business data connection Regular, explicit connection between gamification performance and the actual KPI being tracked. When participants see that their game score improvements correlate with real business outcomes, the system becomes self-evidently worth engaging with. |
Our article on training success stories from Fortune 500s includes examples of organisations where gamification was embedded within exactly this kind of accountability and coaching ecosystem, producing KPI movements that standalone gamification rarely achieves. And for building the reflective practice layer, our article on the power of reflective learning in adult education provides the specific tools and prompts that convert game data into genuine development insight.
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Conclusion: The KPI Is the Design Brief
Gamification that drives KPIs is not a different category of gamification from the conventional badges-and-leaderboards approach. It is the same mechanics, applied with a fundamentally different design discipline: one that starts with a business outcome and works backwards through target behaviours, feedback loops, and mechanic selection, rather than starting with the technology and working forwards towards a hoped-for impact.
The organisations that are using gamification to move sales conversion rates, reduce safety incidents, cut onboarding time, and improve customer satisfaction are not using more sophisticated technology than those whose gamification drives only completion rates. They are using a clearer design framework, a more rigorous connection between mechanic and behaviour, and a more honest measurement approach that holds the system accountable to the KPI that justified the investment in the first place.
The framework in this article gives you that design discipline. Start with the KPI. Define the behaviours. Design the feedback loop. Choose the mechanics last. Measure relentlessly. Iterate at 90 days.
The badges are optional. The business outcomes are not.
Related reading: Gamification is one component of a broader approach to building a high-engagement learning culture. Our article on how to build a learning culture in your organisation provides the cultural and structural foundations that make any learning intervention, including gamification, more likely to produce lasting change. And corporate training trends to watch in the next five years covers how gamification fits within the broader evolution of workplace learning design.
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