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Hiram BarskyProduct Designer + AI

Healthcare · Marketplace · Trust

HerbaLink: Designing Credential Trust Into a Herbalist Marketplace

When your health is on the line, "trust me, bro" isn't good enough

Booking increase
3×
Match accuracy
85%
HerbaLink high-fidelity prototype: the mobile flow for finding, booking and getting support, beside the desktop discovery, booking, messaging and symptom-tracking screens

Overview Section

Overview

HerbaLink connects people with vetted herbalists and reliable resources. Many users relied on unverified sources, creating risks. The vision: build a discovery and booking platform with credibility at its core. The outcome: safe, trustworthy access to natural health practitioners and remedies.

Goals

  • Enable search, filter, and booking for herbalists.
  • Give users safe, reliable access to natural health care.
  • Create new revenue channels for practitioners and the platform.
Role
Lead Product Designer
Responsibilities
Product design, booking flows, trust & safety UX
Collaborators
Me (Conversational Design Engineer + AI)
Duration
1 year

Research Section

RESEARCH

Gathering insights

Gathering insights from users and practitioners

Emerging themes

THE TRUST CRISIS

"I found this herbalist on Instagram who promised to cure my anxiety with a $200 tincture. Turns out she had zero credentials and the herbs made me violently sick." – Sarah, 32, anxiety and sleep support

Drove: Problem: no credential verification, real safety risks.

INFORMATION OVERLOAD

"Every herbalist website has different information. I just want to know: Is this safe for me? Will it interact with my medications? How much should I take?" – David, 41, digestive issues

Drove: Problem: conflicting information, no standardized guidance.

EMERGING THEMES

Essentials to Know → Safety info (contraindications, interactions, dosage) must be immediate. Personalization Matters → Matching by conditions, modalities, and availability. Trust & Transparency → Verified credentials and visible sources build confidence.

Drove: Solution framework for trust-first herbalist discovery platform.

User research board: 12 people seeking natural support and 8 herbalists interviewed, with insights, quotes and pain points
Critical patterns emerged.

Problem Section

Problem

People seeking herbal care couldn't confidently find qualified practitioners or reliable guidance, leading to dangerous misinformation, safety risks, and abandoned treatment plans.

Problem

Problem to Solve

Affinity map of interview notes, ending on the synthesis: build trust into discovery, not another directory
Every interview note on one wall, grouped — and the line the whole project came out of.

Exploration: Initial Concepts & Sketches

Sprint Zero / Exploration: Explored AI-powered symptom analysis, community reviews, marketplace browsing.

Decision Point

Decision Point: Trust was the core problem. Solution: verified practitioners with transparent credentials, not a self-serve database of unvetted options.

Key Insights Section

Key insights

1

Trust signals first

credentials and safety info drive bookings

2

Personalization wins

condition-specific matching is more effective than search

3

Continuity matters

booking + notes + follow-ups keep users engaged

My Thought Process Section

Approach & Decision Making

My Thought Process

I prioritized trust-building over flashy features. When health is at stake, credibility trumps convenience. The breakthrough was reframing herbalist selection as choosing a doctor, not shopping for supplements. Credentials, safety info, and guided matching came first, always.

The nine stages of the work: the opportunity, a competitive read of BetterHelp, Zocdoc, Mindbody and Fullscript, interviews, personas, the journey map, ideation, card sorting, concept sketches and prioritisation
The whole route from question to prioritised feature set.

Ideation Section

IDEATION

Multiple iterations

Multiple iterations on trust and discovery

1

Profile essentials

what users need immediately to trust a practitioner

2

Safety information

contraindications and interactions upfront

3

Match criteria

intake questionnaire → condition-specific scoring → instant booking

4

Booking flow

fewer steps, clearer expectations, immediate confirmation

Design Iterations Section

Core flow, low fidelity
Low-fidelity wireframes of the seven-step booking flow on mobile, with the desktop landing, search results and profile screens below
Application dashboard interface.

What Didn't Work Section

What Didn't Work

Lessons Learned

My first approach was building a giant herbalist database with every possible filter. Users hated it. "This feels like trying to diagnose myself on WebMD. I just want someone qualified to help me." – Leah, 28, general wellness Fix: Guided discovery with expert-matched options instead of overwhelming filters.

Interview notes, the affinity groups they produced, and the four early concept sketches — home and discovery, practitioner profile, symptoms to education, and the booking flow
The sketched directions, annotated. Quick search and browse-by-specialty survived; the filter-everything directory did not.

User Testing & Validation Section

Validation & Testing

User Testing & Validation

Results: • 92% task completion • 4.8/5 trust score • 30s average booking time

92%
task completion
4.8/5
trust score
30s
average booking time
The six-screen low-fidelity flow put in front of users, with what was tested, the feedback it drew, and the four changes that came out of it
What was tested, what people said, and what changed because of it — filters and session type moved into search, verification badges got louder, pricing moved earlier, and messaging was added before booking.

The Final Product Section

The Result

The Final Product

A platform where people can confidently: • Book verified herbalists with transparent credentials • Access safety information to avoid dangerous interactions • Track symptoms + progress over time • Book faster: 3× higher conversion rate

The shipped eight-step journey: onboarding, explore, search and filter, view profile, book, confirm, the session itself, then messaging, rebooking and reviews
The whole thing end to end, from creating an account to leaving a review.

Outcome Section

Outcomes & Impact

Outcome

Leah's feedback: "I finally found an herbalist who actually helped my fatigue. The platform made me feel safe choosing someone, and the booking was so easy." Impact: • 3× booking increase • 85% match accuracy • 24hr average response time

3×
booking increase
85%
match accuracy
24hr
average response time
Healthcare
GenAI
Trust & Safety
Booking Platform

More Work Section

#Enterprise#Search#Data Discovery

More Work

DAE Digital Asset Explorer: the landing screen beside the dashboard mid-search, showing recommended results

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Redesigned an enterprise search platform that transformed how teams discover and access critical business data. Through semantic search and visual data lineage, we reduced information retrieval time by 65% and delivered measurable ROI.

20% ROI from Better Data Discovery

Contact Section

Get in Touch

Tell me what you're working on and where it's stuck. Short messages are fine.