19 Days to Impact.

A 19-day sprint that takes a behavior-change intervention from question to roadmap — grounded in behavioral psychology, tested with synthetic data, validated with real people.

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.

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.

‘Fail Fast’ means testing and learning early. ‘Fail Faster’ uses AI, synthetic users, and auto-prototyping to massively shorten those learning loops — days instead of weeks.

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're a fast filter — every recommended solution is validated with real humans. Real people always have the final word.

From CHF 50,000 incl. VAT. The exact price depends on product, audience size, and complexity.

Health, finance, energy, mobility, public sector, retail, and insurance — anywhere outcomes hinge on behavior, not just features.

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. Agentic workflows orchestrate synthetic personas, prototype generation, test analysis, and reporting in parallel — drastically shortening 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 guarantee methodological quality and learning value. We won't promise exact KPI lifts — that would be dishonest.

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.

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, prioritised — and ship an executable roadmap.

Yes. B2B buying behavior is often as emotional and time-constrained as B2C — with extra stakeholder dynamics we model explicitly.

Very well. Mass behavior can be modelled up front with synthetic personas and confirmed with real-user tests.

Four core roles: behavioral research, strategy, design, and gamification/AI — extended with industry expertise on demand.

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 slice it. One sprint solves one clearly defined behavior in one clearly defined situation. Big themes get multiple sprints.

German, French, Italian, and English — for both 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 — health, finance, pharma. We collaborate with compliance and legal 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 stakeholder-ready internally — set for rollout.

No. We deliver what strategy consulting rarely does: concrete, tested, executable behavioral interventions.

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.

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 take the wheel. We optionally offer measurement setups, coaching, and follow-up sprints for scaling.

100 % of sprints deliver at least three testable interventions and an executable roadmap. KPI lifts are measured post-rollout.

Within two weeks of briefing — as soon as NDA, brief, and data access are in place.

By email at matthias@gbanga.com — or via the MCP endpoint at /api/mcp.php (tool: request_contact). Reply within one working day.