From question to high-impact intervention in 19 days. A working prototype. Grounded in psychology. Tested with synthetic data. Validated with real people.
«Anyone can build a prototype in 19 days. The art is knowing which one to build.»Pitch deck (5 slides)
We connect behavioral science, strategy, gamification, and AI. That bridges human insights to practical solutions. We test ideas first in a protected sandbox with synthetic users, quick prototypes, and clear risk criteria. Only then do we validate with real people.
Who is your audience? What do we already know, and what do we still need to learn?
Which behavior do we want to change, and who exactly is the audience?
Compress prior research about the audience and surface blind spots.
Identify motivators and barriers along the user journey.
Play through touchpoints, motivators, and barriers end-to-end.
We design interventions and bounce them off your audience, first synthetically, then with real people.
We strengthen intrinsic motivation with targeted mechanics.
First ideas turn into prototypes and improve over multiple test loops.
Before real-user tests, synthetic users sanity-check the prototypes.
For each approach we check impact, risks, and implementation effort with a clear checklist.
Together we prioritise the rollout and hand over the prototype.
What did we observe, confirm, or reject, we sort it out together.
Map out requirements, resources, and internal ownership.
We surface what's still open, with you, not for you.
Next steps, owners, and timeline, black on white.
We want everyone to attend cancer screening on time.
We want our customers to buy more organic products.
We want men to engage with mental health.
We want more people to invest their savings sustainably.
We want older people to use digital services.
We want short car trips replaced by climate-friendly alternatives.
We want a higher share of generics in prescriptions.
We want tenants to consume energy more consciously.
We want more people to donate blood regularly.
It depends on several factors: is the product digital or physical? How large is the audience? How hard is the problem? Realistically, sprints start at CHF 50,000 incl. VAT.
PhD in cognitive psychology; led UX research at the EPFL+ECAL Lab. Author of about a dozen peer-reviewed studies and creator of SBB's award-winning experience app.
Project manager for customer experience and insights at SBB, visiting researcher at UC Berkeley, and keynote speaker on putting people at the center of the AI shift. Her toolkit spans eye-tracking, behavioral data, and co-design.
UN representative in Geneva for the psychology associations APA, EFPA and FSP. Founder of The Behavior Lab, applying behavioral science for federal offices and global firms.
Co-founder and vice-president of the Behavior Change Network Switzerland, and lecturer in customer and economic psychology in Lucerne and at Kalaidos. He has run behavioral projects for Swiss federal offices and international firms.
Co-founder of mixed-reality studio Gbanga and founding president of the Swiss Game Developers Association. ETH Zurich, ex–Xerox PARC; winner of the global Universal GameDev Challenge.
More than forty shipped titles for museums, brands, public squares, and broadcast TV. MSc from ETH Zurich, lecturer at HWZ, and jury president of Best of Swiss Apps. Today he works as advisor, product designer, and implementer.
We'll get back within one working day.
A 19-day work format that takes a behavior-change intervention from question to roadmap. We ground the work in behavioral science, test first in a protected environment, and validate with real people.
Instead of a months-long programme, we compress it into a focused 19-day sprint: understand the behavior, prototype and test interventions with real people, and hand over a rollout-ready roadmap. You get tested direction in three weeks, not three quarters.
19 days is short enough to keep momentum, long enough to cleanly separate understanding, prototyping, and validation, three phases of 5, 11, and 3 days.
We strengthen the motivators that pull people toward the goal and remove the barriers in their way, then prove it with real-user tests before rollout. That combination shifts behavior more reliably than adding another feature or message.
A solution tested with real users, shown to be technically feasible, and stakeholder-ready internally, set for rollout. Concretely: tested prototypes, audience insight reports, and a clear implementation plan with owners.
From CHF 50,000 incl. VAT. The exact price depends on product, audience size, and complexity.
We translate the goal into one concrete behavior and audience, design interventions grounded in behavioral psychology, and lock a primary behavioral KPI on day one, so progress is measured by what people actually do, not by self-report.
Health, finance, energy, mobility, public sector, retail, and insurance. It fits wherever outcomes hinge on behavior, not just another feature.
Design Sprints focus on product solutions. We focus on behavior change, with behavioral science, synthetic testing, and a roadmap rather than a hi-fi mockup.
Behavior change works when motivators are strengthened and barriers removed, complemented by choice architecture, social norms, and intrinsic reward. Impact is measured by behavior, not self-report.
No. Gamification is one tool of many. We pick from nudges, defaults, commitment devices, social proof, and game mechanics depending on audience and behavior.
A deliberately designed intervention in a decision or action situation that makes a desirable behavior more likely, without limiting freedom of choice.
We mean testing and learning early in a sandbox before anything fails in the real market. AI, synthetic users, and quick prototypes shorten those learning loops.
We build LLM-based personas conditioned on research data and demographics. They act as a first-pass filter for prototypes, surfacing logic gaps and saving real testers' time.
No. They help us sort quickly. We validate every recommended solution with real humans. Real people have the final word.
There's no single best nudge, it depends on context. Defaults work for inertia, social norms for uncertainty, implementation intentions for resolutions. We test empirically which one fits your audience.
Yes. AI-assisted workflows coordinate synthetic personas, prototype generation, test analysis, and reporting in parallel. That shortens learning cycles.
Via observable behavior: conversion, click-through, adherence, actual usage. Self-reports complement but never replace behavior.
Drive that comes from within, autonomy, competence, purpose. Solutions that tap intrinsic motivation outlast external rewards.
We don't deliver a pretty shell. We deliver tested behavior change. Design is the means, not the goal.
You do. All deliverables, prototypes, and roadmaps transfer to the client.
Yes, by default before the first briefing.
We stand for methodological quality, clear tests, and useful learning. We do not promise exact KPI lifts because serious impact measurement depends on context.
A 90-minute clarity workshop: sharpen the behavioral goal, focus the audience, define success metrics. Then we start with personas and data.
Yes, with independent teams. We deliberately share learnings across sprints.
Ideally to existing research, analytics, and CRM insights, anonymised is often enough. Confidentiality is standard.
Yes. Hybrid works best, online for pace, on-site days for depth.
UX research surfaces problems. We solve them behavior-first, prototyped, and prioritised. The result is an executable roadmap.
Yes. B2B buying behavior is often as emotional and time-constrained as B2C, with extra stakeholder dynamics we model explicitly.
Yes. Mass behavior can be modelled up front with synthetic personas and checked with real-user tests.
Four core roles: behavioral research, strategy, design, and gamification/AI. We add industry expertise when needed.
Absolutely. Internal knowledge accelerates every sprint. We recommend a sponsor and an insights owner from your side.
Locked on day 1: one primary behavioral KPI, one or two driver KPIs, and a guardrail metric against unwanted effects.
We narrow it. One sprint tackles one clearly defined behavior in one clearly defined situation. Big themes become multiple sprints.
German, French, Italian, and English. That applies to workshops and tests.
Yes. It combines published findings from behavioral economics, social psychology, HCI, and gamification with empirical on-site testing.
AI speeds up research, persona construction, prototype generation, and analysis, but it replaces neither domain expertise nor real-user tests.
No. Where humans are better, empathy, ethical judgment, stakeholder relationships, humans stay at the helm.
We follow a pro-autonomy stance: solutions must benefit the person, be transparent, and preserve choice. Dark patterns are off-limits.
Yes, at rollout. Inside the sprint we use qualitative tests and small quantitative samples for faster learning.
We design for long-term effects via intrinsic motivation and habit loops, and recommend measurement setups that track effects over months.
Yes, for example health, finance, and pharma. We involve compliance and legal teams during the sprint, not only at the end.
Yes. Your research data stays in Switzerland by default; AI inference is available via EU/CH endpoints.
A solution validated with real users, technically feasible, and internally decision-ready. It is ready for the next rollout step.
No. We deliver what strategy consulting rarely does: concrete, tested, executable behavioral interventions.
Design Thinking is a mindset, we're a format. The two are compatible, we add science, speed, and tests.
Concrete points of contact between a person and an offer, push notification, letter, website, conversation. Each touchpoint is a behavior-change lever.
Motivators pull people toward a goal. Barriers hold them back. Impact comes from boosting motivators and reducing barriers, usually both.
Yes, cue, routine, reward. But only for pro-social applications. We reject manipulative hooks.
You decide the next step. We optionally offer measurement setups, coaching, and follow-up sprints for scaling.
We plan every sprint to produce at least three testable interventions and an executable roadmap. KPI lifts are measured after rollout.
Within two weeks of briefing, as soon as NDA, brief, and data access are in place.
Use the contact form or email andrea@19days.ch, matthias@19days.ch, or gilles@19days.ch. We reply within one working day.
