Danske Bank — Research Hub
A 100% digital onboarding research portal for Denmark's largest bank.
Before a single pixel.
Discovery, framing, structure and validation — the work that decided what the screens had to be.
- 01Discover
Trace how findings travel
Interviews with 18 researchers and 7 PMs on where a study is born, shared, and eventually lost.
Semi-structured interviewsArtifact tracingSearch log analysis - 02Define
Research is a graph
Reframed the hub from a folder of files to a linked model of studies, insights and decisions.
Domain modelTaxonomy workshopsProblem statement - 03Structure
Two audiences, one shell
Designed an IA where executives can skim summaries while researchers read full lineage.
IA blueprintTree testingEditorial guardrails - 04Ideate
Search as the front door
Wireframed search-first entry points after logs showed nobody browsed.
WireframesSearch UX explorationsContent templates - 05Validate
Find-a-study benchmark
Timed retrieval tasks against the old setup until the median dropped from minutes to seconds.
Task-based testingRetrieval benchmarksIteration log
Straight from the source.
Live captures of the shipped product and the design files behind it.
The brief.
A central place for Danske's research community to publish, browse, and trace the lineage of every study informing a product decision. Built to be skim-able for execs and rigorous for researchers.
Research was scattered across Confluence, drives, and inboxes. Findings repeated themselves because nobody could find what already existed. We needed a hub with shape, not a folder.
Talking to real users.
- ✦Semi-structured interviews
- ✦Content taxonomy workshops
- ✦Search log analysis
- ✦Tree testing
18 researchers · 7 PMs · 4 executives
6 weeks discovery + 3 taxonomy workshops
"I know we've studied this. I just can't find who did it."
"Give me the answer in 30 seconds — or I'll commission a new study."
How the study actually ran — four frames from field to evidence.
Follow a finding
18 researchers and 7 PMs traced where a study is born, shared and eventually lost.
Research as a graph
Modelled studies, insights and decisions as linked nodes rather than folders.
Search as front door
Logs showed nobody browsed — so the wireframes led with retrieval.
Find-a-study benchmark
Timed retrieval tasks until the median dropped from minutes to seconds.
- Insight 01
Findings need lineage
A finding without provenance is a rumor. Every insight had to link to its study and decisions.
- Insight 02
Search is the front door
Nobody browsed. Everyone searched. Search UX became the primary IA.
- Insight 03
Two audiences, one shell
Executive summaries and full reports had to coexist without turning into two products.
How it came together.
- 01
Interviewed 18 researchers and 7 PMs to understand how findings actually travel through the org.
- 02
Modeled research as a graph — studies, insights, decisions — instead of a flat list.
- 03
Designed for two audiences in one shell: scanners and readers.
- 04
Established editorial guardrails so the hub stayed scannable as it scaled.