UX training for people working in real product teams.

A workshop about product-team collaboration, UX–PM–DEV communication, decision-making, credibility, AI, accessibility, and sustainable ways of working under pressure.

Why this training exists

In many product teams, UX is still reduced to drawing screens. Designers are brought into decisions too late, collaboration between UX, product, and engineering is inconsistent or informal, and product decisions are often made without enough user context.

Teams also face growing pressure related to AI, speed, and delivery expectations. Without shared ways of working, this often leads to inconsistent solutions, UX debt, accessibility debt, more strain on teams and support, frustrated stakeholders, and lower product effectiveness.

What participants should gain

• Shift the focus from “drawing” to operational collaboration in product teams
• Understand product context more clearly
• Improve UX–PM–DEV communication
• Build credibility for UX inside the team
• Recognize systemic constraints inside organizations
• Develop practical ways of working in real-world conditions
• Use AI more consciously in UX and product-team work
• Consider accessibility and diverse usage contexts earlier in product decisions
• Use simple tools that support mental comfort, workload management, and sustainable work

Who it is for

This training is designed for:

• UX Designers
• Product Designers
• Senior UX Designers
• Lead UX / Staff UX
• the first UX person in a product team

It is especially useful for people who work in IT product teams, collaborate with product managers and engineers, want to strengthen their role beyond interface design, face a lack of UX processes in their organization, or want to make product-team collaboration more coherent.

What we cover

The workshop is built around four blocks:

• UX as a strategic role — the role of UX in product decisions, UX–PM–DEV collaboration, and the use of AI in product-team work
• Case studies from real product teams — building UX credibility, fighting for a seat at the table, good and bad uses of AI, AI that supports UX versus AI that creates chaos, and accessibility or inclusion debt
• Work on participant examples — analysis of real problems from product teams, shared search for possible solutions, and discussion of AI and accessibility in participants’ own situations
• UX under pressure — influence, communication, workload, boundaries, and the impact of AI and increasing delivery pace on the wellbeing of designers and teams

What makes it different

• It is grounded in real experience from IT product work
• It includes both success and failure cases
• It shows the limits of the UX role inside organizations, not only its idealized version
• It focuses on collaboration between UX, product management, and engineering
• It addresses work without perfect processes
• It includes both business and technical context
• It openly covers overload, pressure, and mental sustainability
• It shows practical ways to use AI in UX and product-team work
• It includes accessibility and diverse contexts of use as part of real product decision-making

This is not a course about Figma, wireframes, or polishing UI. It is about UX as a practical operating role inside real product environments.

Workshop format

The session is interactive and discussion-based, built around case analysis rather than passive listening.

Available formats:

• half-day workshop — around 4 hours
• full-day workshop — around 6–7 hours
• online training
• onsite training

Typical workshop elements include:

• case studies
• work in pairs and small groups
• moderated discussion
• analysis of participant situations
• optional use of AI and accessibility-supporting tools in workshop exercises

Good fit

This workshop is a strong fit for training companies, internal enablement teams, product organizations, and design teams that want something more practical than a tools-based UX course.

The content is based on real product work: UX–PM–DEV collaboration, decision-making, operating without strong processes, building credibility, using AI consciously, and keeping product work sustainable.

A practical workshop for developers who want to understand UX, reduce rework, improve communication with product teams, use AI effectively, and build more usable, accessible digital products.

Why this training exists

Software engineers influence user experience every day — through implementation decisions, technical constraints, component behavior, edge cases, performance, accessibility, and how requirements are interpreted.

This workshop helps developers understand the practical side of UX without turning them into designers. The goal is to give engineers useful mental models, simple tools, and communication processes that help teams deliver better solutions faster, with fewer misunderstandings and fewer rounds of rework.

Participants also learn where to look for information about real user needs and how to use AI responsibly to support research, validation, and product thinking.

Who it is for

This training is designed for:

• Junior and entry-level software engineers who want to better understand their impact on product usability
• Mid and senior developers who want to improve collaboration with UX, product, and business stakeholders
• Technical leads and product engineers who operate close to product decisions
• IT specialists working in cross-functional product teams
• Teams that want a shared language between engineering, UX, and product management

The workshop is especially useful for developers who do not need advanced design skills, but do need better ways to understand users, clarify requirements, identify usability problems, and avoid implementation work based on vague assumptions.

What participants should gain

• A practical understanding of UX from an engineering perspective
• Better awareness of how user journeys influence implementation quality and delivery speed
• A simple way to identify common usability problems using basic heuristics
• Stronger understanding of accessibility and inclusive product decisions
• A clearer view of the UX process from discovery to validation
• Practical AI workflows for quick research, persona generation, interview simulation, and UX validation
• Better communication habits around UX requirements, acceptance, and product-team decisions
• Ready-to-use templates, prompts, and tools that can be applied immediately in daily work

What we cover

The workshop is built around five practical blocks:

• Introduction — trainer and participant introduction, expectations, and workshop agenda
• UX fundamentals in engineering practice — UX as a tool for reducing rework, improving communication, and delivering better technical solutions
• Usability and accessibility basics — Nielsen heuristics, quick usability checks, contrast, inclusiveness, and building more resilient digital products
• UX process roadmap — from personas and customer journeys to technical validation, moving from broad product context to detailed implementation decisions
• AI-supported practice and tools — using AI for persona generation, interview simulation, quick research, and UX validation without requiring advanced design expertise
• Procedures and collaboration optimization — documenting UX requirements, using UX topics during daily work, managing acceptance, and structuring communication between developers and product teams
• Case studies and Q&A — real examples of process improvements, better kickoff meetings, clearer communication, and earlier understanding of requirements

Practical AI use

AI is treated as a supporting tool, not as a replacement for thinking, research, or team collaboration.

Participants explore how AI can help with:

• creating draft personas and user scenarios
• simulating user interviews
• preparing quick research summaries
• validating early UX assumptions
• checking whether a proposed solution may create usability or accessibility risks
• generating questions for product, UX, or business stakeholders

The goal is not to automate UX away. The goal is to help engineers ask better questions earlier.

What participants receive

Participants receive practical materials they can use after the workshop:

• UX communication roadmap — a clear visual map showing where developers can engage with UX processes during a product lifecycle
• Communication process guide — recommended meeting types, such as kickoff meetings and status meetings, with suggested structure and purpose
• UX requirements sheet — a ready-to-use template for collecting and structuring UX requirements before implementation begins
• AI prompt set — prompts for persona generation, interview simulation, quick research, and UX validation
• Quick Win tools base — a selected list of simple tools for checking accessibility, usability, and implementation quality

Workshop format

The session is practical and discussion-based, with examples, tools, and exercises that can be directly connected to everyday development work.

Typical format:

• approximately 5 hours
• online or onsite
• short theory blocks
• practical exercises
• AI-supported examples
• real product-team case studies
• Q&A session

Good fit

This workshop is a good fit for software teams, engineering departments, product organizations, and training companies that want to help developers better understand UX without sending them to a generic design course.

It works especially well for teams that want to reduce ambiguity, improve communication with UX and product, reduce rework, and make usability and accessibility part of everyday engineering decisions.