B2B Analytics Dashboard UX Improvements for Clarity, Speed, and Confidence
A B2B SaaS product had powerful analytics but users struggled to find insights quickly. We redesigned the dashboard information hierarchy, improved filtering and reporting flows, and aligned the UI with a clear design system for consistent delivery.
Confidential engagement. NDA available upon request.
29%
Higher Weekly Active Use
47%
Faster Insight Time
38%
Lower UX Related Tickets
6
Weeks to Delivery
About the Client
Industry
B2B SaaS
Company Size
50 to 120 employees
Background
A B2B SaaS platform selling analytics to operations teams. The dashboard had grown organically and lacked consistent structure, making it hard to learn and trust.
Why Users Struggled
Information overload
Too many metrics were shown at once without clear hierarchy or guidance.
Filters and reports were confusing
Users could not reliably reproduce results due to unclear filter states.
Inconsistent components
Tables, charts, and form controls looked and behaved differently across modules.
Low trust in data
Small differences in results created skepticism without clear definitions and explanations.
The Mission
Redesign the dashboard experience to make insights easier to find, improve usability of filters and reporting, and align UI components for faster engineering delivery.
How We Approached It
01. Audit and testing
Week 1 to 2- User interviews and usability tests
- Analytics review for drop off points
- Component and pattern inventory
- Dashboard hierarchy and layout proposals
02. Design and iteration
Week 3 to 5- Redesigned dashboard layouts and chart patterns
- Improved filter UX with clear state and defaults
- Report creation flow simplification
- Prototype validation and iteration
03. Handoff
Week 6- Component specs and tokens
- Engineering pairing sessions
- QA checklist and regression guidance
- Adoption plan for additional modules
Vulnerabilities Discovered
0
CRITICAL
1
HIGH
2
MEDIUM
1
LOW
Filter state ambiguity
Users could not tell which filters were applied, leading to mistrust and repeated support requests.
Users could not tell which filters were applied, leading to mistrust and repeated support requests.
Chart labeling inconsistencies
Labels and units varied, creating confusion and slower interpretation.
Labels and units varied, creating confusion and slower interpretation.
Report creation required too many steps
Users abandoned the flow due to optional fields and unclear next actions.
Users abandoned the flow due to optional fields and unclear next actions.
Empty state clarity
Users needed better guidance when there was no data or when permissions limited visibility.
Users needed better guidance when there was no data or when permissions limited visibility.
How We Fixed It
Clear hierarchy and patterns
Introduced a consistent layout system and standard patterns for charts, tables, and filters.
Filter UX redesign
Made filter state visible, predictable, and easy to reset and share.
Report flow simplification
Reduced steps and clarified actions so users could export and share results reliably.
Measurable Outcomes
Users found insights faster and raised fewer questions, improving adoption and reducing UX related support workload.
29%
Higher Weekly Active Use
47%
Faster Insight Time
38%
Lower UX Related Tickets
25%
Higher NPS
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