The Research Gap Behind a Growing Product
When a Berlin-based travel e-commerce startup approached us, they had a technically capable product but were flying blind on how their German-speaking users actually felt using it. Internal assumptions were driving product decisions, and the team had no structured way to validate them. What they needed was a research process that could reliably surface the truth — from the users themselves.
The challenge was not just conducting a few interviews. It required building a complete research pipeline: finding the right participants, facilitating sessions in German with the cultural and linguistic fluency the audience deserved, and then transforming raw qualitative data into something a product team could act on.
Building the Research Pipeline From the Ground Up
We approached this in three sequential phases, each one dependent on the quality of the last. Recruitment came first. We screened and selected German-speaking participants who matched the startup's core user profiles — varying across travel frequency, booking habits, and digital behavior. This ensured the insights we gathered would reflect the actual diversity of their user base.
Session facilitation was conducted in German using a structured discussion guide built around specific product touchpoints and suspected pain areas. Helion360 led each session with moderated depth, giving participants space to elaborate while keeping discussions anchored to the research objectives.
The analysis phase used affinity mapping and thematic coding to identify patterns across sessions. Rather than reporting on individual responses, we synthesized findings into clustered themes, ranked by frequency and potential product impact.
What the Data Revealed
The research surfaced friction points in the search and booking flows that the product team had not previously identified. Users expressed confusion at specific decision points and described workarounds they had developed on their own — a strong signal of unmet design expectations. These were not edge cases. They were consistent patterns that appeared across participant groups.
Helion360 delivered a prioritized insights report that mapped each finding to a specific product area and recommended the areas most worth addressing first. The client left the engagement with a clear, evidence-backed direction for their next development cycle.
Working With Helion360
If your product team is making decisions without validated user input — especially across a language or cultural boundary — Helion360 is equipped to run the full research process from recruitment through analysis. We have done this before, and we know what it takes to turn qualitative sessions into decisions that move a product forward.