In most teams it isn't expertise that's missing — it's shared understanding.
Working in silos
Everyone sees the task from their own perspective, and it only surfaces at the end that they understood it differently.
No shared starting point
Designing a new product or feature stalls because there is no common point from which everyone sees the same thing.
Late rework
Repeated alignment, redesign and “but that's not what we meant” feedback slow development down and wear the team out.
This isn't a methodology gap — it's a question of a missing shared language.
Design Thinking training — a shared, visual language in two days.
A 2-day, in-person workshop for cross-functional teams — specifically for the roles present at every point of product development:
Our own method, on proven foundations
We build on the classic design thinking steps (empathize → define → ideate → prototype → test), following our own framework refined in practice. We also weave in the DISC model: participants understand not only the task together, but each other's working styles too — forming a truly shared, visual language on a Miro-based workspace.
AI-assisted product development
The training doesn't stop at theory: we show how AI fits into everyday product-design work — with concrete, practical tools, not abstract promises.
International, cross-cultural experience
We've tested the method with cross-functional teams and teams from different countries — Hungarian, Austrian, German and American participants, from international university-workshop teams to corporate settings — where cultural and organizational differences make a shared language even harder to find.
This is how we work ourselves
Appsint's own product-development and strategic thinking follows this design thinking approach. We don't hand over theory taught from the outside — we bring a living practice, used at Appsint, into your team.
The design thinking process model.
From understanding to testing — the classic steps, with the artifacts produced at each phase and the feedback loops.
We don't promise numbers where there's no metric — but the pattern is clear.
Better collaboration
Teams start speaking one language and reach shared decisions faster.
A shorter path to a working solution
By the end there isn't a document, but a jointly understood, testable direction the team can act on.
Less rework from misunderstanding
The critical decisions are made together at the start of the process, not discovered mid-development.
We've tried and validated the method in large-enterprise settings, on our own internal team and in university workshops alike.
These are the situations where the training has the greatest impact.
- A new product or feature is starting, and the teams haven't yet reached common ground on what they're actually building.
- Development is visibly stuttering — lots of late changes, frequent “but that's not how we understood it” feedback.
- An organizational or team change has happened — teams merged, new members joined, or an international collaboration is beginning.
- Decision-making has slowed because the business and technical sides prioritize differently, and that tension never surfaces openly.
- Before or during the adoption of AI tools, there's uncertainty or resistance in the team.
- You're facing a major strategic decision (e.g. build vs. buy, entering a new market) that needs input from many stakeholders, but traditional meetings don't surface the real positions.
We don't think in package prices.
We tailor every training to your team's situation, size and goal. In a short, informal conversation we assess whether your situation truly fits this frame — and if it does, we give you a tailored quote.
Request a tailored quote