Advisense's project
TL;DR Built a SaaS that made financial consultants cheer (and stop Excel-ing their souls away).

Transformed financial consultants' workflow by developing a SaaS solution that automates data aggregation and risk analysis. Key results included a 60% reduction in manual processing time while maintaining service value.
LESSONS LEARNED
THE PROCESS
THE CHALLENGE
Client ping pong -
Spreadsheet archeology -
Data entering -
50% of time spent chasing documents via email threads
Critical risks buried in cell C247 of 20-tab workbooks
Wasting 60% of billable hours manually requesting and reformatting client data.
Financial consultants were trapped in
Delivery: from skepticism to adoption
Building: from data to product
Discovery: uncovering the silent pain points
Re-typing data from PDFs into Excel
Consultants were trapped in a cycle of performing expertise through manual work, rather than practicing it through analysis.
Competitors added more features; we removed friction.
All focused on data collection, none on analysis acceleration.
Design System
Edge case prototyping
Broader user testing
Stakeholders interview
Analyzed 5 compliance tools
Weekly syncs to ensure technical feasibility
Partnering with Front-End
Saw consultants alt-tabbing between 15 windows
Design system for the win
Adoption Metrics
Overcoming initial resistance
Wireframing the possible solution
Ran "Show me your (worst) day" shadowing
High-Fidelity validation
Continuous testing and iterations to refine interactions
Dev-friendly for a smooth collaboration
Built a scalable design system in Figma
Wireframe helped our team to validate the task completion rate on the solution
Reduced onboarding time for new hires
The first team reported 60% less time spent in manual processing
3-month post-launch: 2 more teams started to use the tool
Created short Loom videos (≤90 sec) to demo key features
Anticipating the need
Quick wins: within 2 weeks, users reported less time spent on data entering.
Soft-launched with 1 team
Tested paper prototype within 3 days to validate the report builder concept.
Our component library grew organically. Next time, I’d document usage rules earlier to speed up dev handoff.
I’d prototype more ‘worst-case’ data scenarios (e.g., 100+ risk flags at once) to stress-test scalability sooner.
We tested mostly with senior consultants. Including junior staff earlier would’ve uncovered training gaps we fixed post-launch
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Bruna Vargas de Oliveira.