User Research & Problem Understanding: Real needs, not assumptions

Why this matters

Prevents investment in irrelevant features

Uncovers problems and opportunities that were previously overlooked

Builds user understanding across the whole team

Delivers objective decision-making foundations instead of gut feeling

Replaces speculation with empathy

Most digital products don't fail in execution

They fail by solving the wrong problem. That's why we invest in qualitative and quantitative user research early on: we want to understand how your target groups think, act, and feel – and what challenges they actually face day to day.

With the right combination of methods, we turn vague hypotheses into concrete insights. This creates a solid foundation for product decisions that deliver real value for your users and your business.

01

Research planning & goal definition

What questions need answering? Which methods fit the project context?

02

Recruitment & preparation

Selecting the right user groups and interview partners

03

Research activities

User interviews, contextual observation/shadowing, surveys, or data analysis (e.g. usage data, support tickets)

04

Synthesis & insights

Clustering, pattern recognition, personas, Jobs to Be Done

05

Deriving problem areas

Deriving problem areas and action needs

Typical statements
before the project

What you get

Interview guides & analyses
Personas or Jobs-to-be-Done profiles
Customer journeys & pain point analyses
Insight sheets with concrete recommendations