The science

What the research actually supports.

The short version of why Mindima apps work the way they do, with the receipts at the bottom. No IQ promises, no far-transfer hype.

Brain training has a credibility problem, and it earned it: a decade of overpromising ended with the FTC fining Lumosity’s maker $2 million in 2016. We made the opposite bet. Say exactly what practice does, measure it honestly, and let the product speak for itself.

Practice works. Here’s the fine print.

The most solid finding in the field is simple: practising a task makes you better at that task and its close neighbours (Klingberg, 2010). Working memory, processing speed, and attention under interference are all specific, measurable, and improvable with reps (Salthouse, 1996; Stroop, 1935). Those are exactly the mechanics mindima trains and charts.

Three rules shape every session

Stay at your edge. Gains are strongest when difficulty sits just above your current level, which is what separated effective working-memory training from busywork (Klingberg, 2010). Every game adapts in real time to keep you there.

Little and often.Spaced-out minutes beat crammed hours, across 254 studies and 14,000+ participants (Cepeda et al., 2006). That is why mindima is a five-minute daily warm-up, not a weekend marathon.

Effort plus feedback.Improvement tracks focused work with immediate feedback, not time served (Ericsson et al., 1993). Every rep is scored on the spot.

Rule one in action: the game’s difficulty tracks just above your skill, keeping every rep in the learning zone. Illustrative.

Where the gains show up

Train consistently and the wins land exactly where you put the reps: sharper recall on the memory mechanics, steadier attention under distraction, quicker reads with comprehension intact, and gains that reach the skills next door to the ones you train (Simons et al., 2016). Best of all, you never have to take our word for it: your own charts show the climb, session by session.

Where training pays off most: the trained task and its close neighbours, after Simons et al. (2016). Schematic, not study data.

Real, measurable, and yours: well-defined mechanics that genuinely improve with practice, charted from your own sessions on your own device.

Why the games make you recall, not review

Pulling something from memory cements it far better than re-reading it. That is the testing effect (Roediger & Karpicke, 2006), and it is why our memory games are timed recall reps instead of flashcard skimming.

The testing effect’s shape: re-reading wins minutes later, retrieval wins days later. Illustrative curves.

Speed reading, minus the hype

No trick doubles your reading speed at full comprehension (Rayner et al., 2016). What does work: practice on the real mechanics, wider visual span, steadier pacing, fewer regressions. Our tools train those and check comprehension every rep, so the speed you gain is real.

What the tools train: wider stops, steadier pace, no backtracking. Schematic of the mechanic, not study data.

The audio sessions

Even four short mindfulness sessions improved working memory and executive function in a controlled study (Zeidan et al., 2010). One study, modest sample, so we frame our primers, resets, and cool-downs as practice with a plausible mechanism, not a guaranteed effect.

The audio layer follows your day: a primer to start, a reset when it spikes, a cool-down to land it.

Why check-ins take thirty seconds

Asking how you feel right now beats asking you to summarise your week: in-the-moment reports dodge memory bias (Shiffman et al., 2008). Your check-ins stay on your device, and the patterns are computed there, just for you.

What the surveys are built on

The personality reflections follow the five-factor trait model, the most replicated framework in personality research (McCrae & Costa, 1987). The stress questions follow the Perceived Stress Scale tradition (Cohen et al., 1983). The values exercises lean on a robust finding: reflecting on what you value supports motivation and follow-through (Cohen & Sherman, 2014).

Two boundaries: these are reflective tools inspired by those constructs, not clinical instruments, and they diagnose nothing. They build a picture of how you work that the app uses to recommend your next games and tools. The picture stays on your device.

From answers to action: your responses build a picture of you, and the picture picks the games and tools that fit. Illustrative.

Why it feels like a game

Gamified learning measurably lifts motivation, behaviour, and learning outcomes (Sailer & Homner, 2020). Our mechanics map to known levers: mastery tiers feed the need for competence (Ryan & Deci, 2000), tier thresholds are the specific, challenging goals that pull performance (Locke & Latham, 2002), and streaks use the repetition-in-a-stable-context recipe of habit formation (Lally et al., 2010).

One boundary we hold: every mechanic exists to get you to the rep, never to maximise time in app. A missed streak costs you nothing but the streak.

The habit engine: showing up wins the rep, the rep moves the charts, and visible progress brings you back. Illustrative.

One loop, not three features

Check-ins say where you are. Training gives the rep. Charts connect the two and point to the next rep that helps most, while streaks and mastery keep the habit warm. Each part is honest on its own; together they compound.

The loop: check-ins inform training, training produces visible progress, progress shapes the next rep.

References

Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., & Rohrer, D. (2006). Distributed practice in verbal recall tasks: A review and quantitative synthesis. Psychological Bulletin, 132(3), 354-380.
Cohen, G. L., & Sherman, D. K. (2014). The psychology of change: Self-affirmation and social psychological intervention. Annual Review of Psychology, 65, 333-371.
Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24(4), 385-396.
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363-406.
Klingberg, T. (2010). Training and plasticity of working memory. Trends in Cognitive Sciences, 14(7), 317-324.
Lally, P., van Jaarsveld, C. H. M., Potts, H. W. W., & Wardle, J. (2010). How are habits formed: Modelling habit formation in the real world. European Journal of Social Psychology, 40(6), 998-1009.
Locke, E. A., & Latham, G. P. (2002). Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American Psychologist, 57(9), 705-717.
McCrae, R. R., & Costa, P. T. (1987). Validation of the five-factor model of personality across instruments and observers. Journal of Personality and Social Psychology, 52(1), 81-90.
Rayner, K., Schotter, E. R., Masson, M. E. J., Potter, M. C., & Treiman, R. (2016). So much to read, so little time: How do we read, and can speed reading help? Psychological Science in the Public Interest, 17(1), 4-34.
Roediger, H. L., & Karpicke, J. D. (2006). Test-enhanced learning: Taking memory tests improves long-term retention. Psychological Science, 17(3), 249-255.
Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68-78.
Sailer, M., & Homner, L. (2020). The gamification of learning: A meta-analysis. Educational Psychology Review, 32(1), 77-112.
Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103(3), 403-428.
Shiffman, S., Stone, A. A., & Hufford, M. R. (2008). Ecological momentary assessment. Annual Review of Clinical Psychology, 4, 1-32.
Simons, D. J., Boot, W. R., Charness, N., Gathercole, S. E., Chabris, C. F., Hambrick, D. Z., & Stine-Morrow, E. A. L. (2016). Do "brain-training" programs work? Psychological Science in the Public Interest, 17(3), 103-186.
Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18(6), 643-662.
Zeidan, F., Johnson, S. K., Diamond, B. J., David, Z., & Goolkasian, P. (2010). Mindfulness meditation improves cognition: Evidence of brief mental training. Consciousness and Cognition, 19(2), 597-605.
Federal Trade Commission (2016). Lumosity to pay $2 million to settle FTC deceptive advertising charges for its "brain training" program (press release, January 5, 2016).

Mindima apps are for practice and general wellbeing, not medical devices. They do not diagnose, treat, or prevent any condition. If you’re struggling, a qualified professional is the right call.

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