FindMyAdvisor

FindMyAdvisor

Ongoing

2025-2026

Advisory

2025-2026

B2B · SaaS

2025-2026

Overview

Overview

FindMyAdvisor is a multi-role expert discovery and consultation platform that connects Advisors, Advisory Firms, Employers, and Employees. The platform simplifies advisor discovery, content access, and consultation workflows through a structured, data-driven experience.

The Problem

The Problem

The advisory ecosystem is fragmented — advisors struggle with visibility, employers lack structured ways to support employee growth, and users face friction in discovering credible experts and relevant content. Managing these needs across multiple user roles within a single platform introduced complexity in navigation, permissions, and workflows.

The Solution

The Solution

I designed a scalable, role-based platform that clearly separates experiences for Advisors, Firms, Employers, and Employees while maintaining a unified product ecosystem. The solution streamlined discovery, content engagement, and consultation flows through structured information architecture and consistent interaction patterns.

The Approach

The Approach

I followed a Design Thinking + Agile hybrid approach, working closely with product managers, developers, and QA to design and refine the platform end-to-end.

Defined user journeys and IA for four distinct user roles

  • Designed low- and high-fidelity flows for discovery, dashboards, and content

  • Made key UX decisions like role-based dashboards, structured filters, and simplified onboarding

  • Built reusable components aligned with Roxiler’s design standards

  • Supported sprint execution with UX clarifications and production-ready handoffs

Conducting User Research

Conducting User Research

For FindMyAdvisor, I explored how users seek expert guidance and how advisors build trust online. Through competitor analysis, persona mapping, and detailed user flow and IA design, I identified the lack of structured discovery and credibility cues as a major barrier. The research shaped a design that emphasizes advisor authenticity, simple booking journeys, and clear, trustworthy engagement flows for all user types.

For FindMyAdvisor, I explored how users seek expert guidance and how advisors build trust online. Through competitor analysis, persona mapping, and detailed user flow and IA design, I identified the lack of structured discovery and credibility cues as a major barrier. The research shaped a design that emphasizes advisor authenticity, simple booking journeys, and clear, trustworthy engagement flows for all user types.

Research and Context

Research and Context

Conducted 11 interviews across roles: 3 independent advisors, 2 HR managers (employer), 4 employees actively seeking career guidance, 2 advisory firm leads.

  • Key IA challenge: All 4 roles needed access to the same "advisor profile" page — but with different actions available (employee: book, employer: assign, firm: manage, advisor: edit). Solved via permission-aware component states.

  • Insight: Employers didn't want to "find advisors" — they wanted to assign them to employees. Renamed the primary CTA from "Browse Advisors" to "Assign Support" for the employer role — reduced confusion in testing.


Figuring out the competition

Figuring out the competition

Professionals seeking guidance want: relevant expertise, trust, flexible access, clear outcomes, and advisors who understand their specific career context — not generic coaching frameworks.

Most platforms today either operate as enterprise-scale coaching programs optimized for HR reporting, or as simple directories that stop at discovery. Very few guide users through goal definition → advisor matching → structured progress.

That gap — context-aware advisory journeys with a human-first UX — is where FindMyAdvisor positions itself.

User Personas

User Personas

Information Architecture

Information Architecture

Sketching and Low Fidelity

Sketching and Low Fidelity

See it in action

Attached below is a live prototype showcasing a complete end to end demo of how the actual product looks, feels and behaves. For best results, please view this on a desktop / Tablet.

Key UX Decisions

Decision: Role is detected at login, not selected. Why: Users shouldn't have to identify themselves — the platform knows. Reduces onboarding friction and prevents errors for first-time users.

Decision: Unified component library used across all 4 role dashboards. Why: Reduces dev handoff complexity and ensures consistent interaction patterns even when content and permissions differ significantly.

Results and Takeaways

Results and Takeaways

4

4

Distinct user roles designed for

Advisor · Firm · Employer · Employee

↓ 60%

↓ 60%

Onboarding time per role

via role-detection flow vs. manual selection

11

11

User interviews conducted

across all 4 role types

60+

60+

Components in design system

reused across all 4 role dashboards

The platform transformed a complex multi-role system into a clear, scalable experience. Structured navigation and consistent UI patterns improved usability and reduced ambiguity across user roles. The project strengthened my ability to design systems holistically while balancing user needs, business goals, and technical constraints.

" Designs are like a good story clear, intentional, and worth finishing. "

" Designs are like a good story clear, intentional, and worth finishing. "

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