Services

My methodology bridges Strategic Design with User Experience Design and regularly verifies assumptions with User Research, laying the foundation for collaborative team ideation and decision-making.

Value Proposition Canvas

Product Strategy

Analyzing customers, markets and technologies to define unique, desired features and embed them into feasible, viable business models.

  • Vision & Mission Statements
  • Business Goals
  • Design Thinking
  • Actor Mapping
  • Sustainable Journey Maps
  • Service Blueprint
  • Disruptive Innovation
  • Business Model Canvas
  • Job-to-be-done
  • Collaboration Workshops
  • Value Proposition Canvas
  • MVP Definition
See my strategy cases
Flow chart diagram

User Experience (UX)

Creating efficient, usable, and appealing interactions between a sustainable product and its users, optimized to their needs and behaviors.

  • Design Planning
  • Sustainable UX
  • Personas
  • Use Cases
  • Storyboards
  • User Flows
  • Information Architecture
  • Moodboards
  • Sketching
  • Wireframing
  • Visual Mockups
  • Prototyping
  • Design Systems
  • Lean UX
  • Developer Alignment
  • Agile Processes
See my design cases
Users with magnifying glass

User Research

Generating and evaluating qualitative and quantitative customer and user feedback to ensure solid decisions on strategy and design.

  • Secondary Research
  • Observation
  • Interviews
  • Surveys
  • Landing Page Testing
  • Ad Testings
  • Concept Testings
  • Focus Groups
  • Card Sorting
  • Tree Testing
  • Scorecards
  • Usability Heuristics
  • Usability Testings
  • Impact Metrics
See my research cases

Benefit From My Experience:

  1. 17+ Years of Design Practice

    Mature judgment and ability to adapt to the unexpected

  2. Flexible End-to-End Methodology

    Broad set of methods allows continuous design ownership

  3. Deep Formal Education in Digital Design

    Interaction Design (BA), Media Design (IHK)

  4. Certified in Sustainability & Business Design

    Ethical, forward-thinking innovations with product-market-fit

  5. Diverse Industry Experience

    Industry-agnostic perspective on potentials of idea transfer

  6. Close Stakeholder Communication

    Identifying business metrics and involving decision-makers

Innovation Experiments

Evaluate-Prepare-Conduct loop, starting with Evalution, a variation of the Build-Measure-Leanr feedback loop by Eric Ries

Prior to the market launch of a new product, the main purpose of Product Design is to minimize uncertainty for subsequent investments and to avoid wasting resources. To achieve this, the extended Double Diamond process, shown before, is broken down into a series of innovation experiments.

An established method for innovation projects to plan and execute experiments is the Build-Measure-Learn feedback loop, popularized in Eric Ries’ book The Lean Startup. Casually said, the loop is about getting out in front of real customers and stakeholders as early as possible, gathering their feedback on hypotheses, and adapting the design approach if needed.

The Lean Startup methodology suggests to build an idea, measure the market response, and learn from the data. The loop then starts anew with adapting the built of the idea. This enables startups and other small budget endeavours to use their scarce resources on gaining the relevant insights early enough, eventually building successful products.

But the model describes a loop! Where to start the work? The internet provides us with an abundance of information: studies, papers, trend reports, demographics, statistics, best practices, etc. It makes sense to start most projects by taking some time to learn about the initial context and see if data about customers and technologies of high potential is available.

Therefore, I adapted the loop to start with Learn, shifted its focus on experimenting and renamed the phases as Evaluate, Prepare, and Conduct, making the wording more flexible and open to qualitative feedback, too.

Evaluate phase of the Evaluate-Prepare-Conduct loop

Evaluate

Whether it is based on initial desk research with existing material or drawn from the measured data from one's own experiment, the Evaluate (Learn) phase generates insights into the customer’s understandings, needs and behaviors (desirability), technological opportunities (feasibility), and financing mechanisms (viability) of a product or business model. It is at this point that teams decide on holding, adapting, or even pivoting the direction of their product development and next experiments.

Prepare phase of the Evaluate-Prepare-Conduct loop

Prepare

Preparing an experiment (Build) always starts with transforming an assumption, most likely the riskiest one, into a precise hypothesis, summarizing the assumed outcome, the type of experiment, and the suitable metric with a threshold to verify or falsify.

The central part of the experiment is the object to be tested and may differ greatly from type to type. In UX & UI Design, the most common test object is a paper, digital or even coded prototype.

Conduct phase of the Evaluate-Prepare-Conduct loop

Conduct

In the Conduct (Measure) phase, it is time to gather feedback as qualitative or quantitative data. And although the term “Measure” implies a technical approach, many research methods require human moderation.

Some parts in a business model need to be validated with experts. But only real customer feedback enables us to assess desirability, usability, and overall user experience. Finally, the loop starts anew, incrementally decreasing risk and increasing the fidelity of the next experiment.

“Oliver demonstrated an extremely comprehensive and outstanding level of expertise, which he always used very confidently and successfully to accomplish tasks. He familiarized himself with the project within a very short time and pursued the objectives sustainably and with greatest success. He carried out all tasks independently, extremely carefully, and well-planned.”

Portrait photograph of Marcin Titikowski

Marcin Titikowski

Head of Product at YARA Digital Farming

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