Expert Network · 2025

Reducing expert sourcing time by 60% with a smarter matching flow

I joined an expert network platform where project managers spent hours manually reviewing expert profiles, cross-checking availability, and negotiating terms of engagement. Every new project required back-and-forth emails and spreadsheet tracking. I was brought in to redesign the sourcing workflow end-to-end — simplifying matching, structuring agreements, and cutting out the manual overhead.

Terms of Engagement product screenshot

Role

  • Lead Product Designer
  • Sole Designer

Team

  • 1× Product Manager
  • 2× Engineers

Impact

  • 60% faster expert sourcing
  • Reduced manual coordination
  • Higher expert match quality
  • Fewer back-and-forth emails

Problem area

Manual matching was breaking the team

Project managers were drowning in repetitive, high-friction steps. Finding the right expert meant scanning long lists, checking profiles one by one, and then negotiating terms over email. There was no structured agreement flow — everything was ad hoc. This led to slow turnarounds, misaligned expectations, and clients losing confidence in the product.

4–6h Average time spent sourcing per project
40% Of engagements had terms renegotiated after the fact
More support tickets related to matching vs. other features

Opportunity 1

Automate the expert-client matching workflow to surface the right profiles faster and eliminate manual scanning.

Opportunity 2

Introduce a structured Terms of Engagement flow that gives both sides clarity and speeds up agreement signing.

Design goals

What I aimed to achieve

Simplify sourcing

Surface the right experts faster by reducing cognitive load and removing repetitive manual steps.

Build trust

Give clients clear terms and expert credentials upfront, reducing hesitation and renegotiation later.

Drive speed

Cut sourcing time by automating the repetitive steps between finding an expert and finalising an engagement.

Design decision 01

Surfacing the right expert at the right time

Research showed matching quality was the top driver of client satisfaction — and the top source of frustration. I focused on a relevance-first profile layout and a smart filter system that made it obvious which experts fit a brief, without requiring deep manual review. Relevance scores, availability badges, and key credentials were brought to the surface so managers could decide in seconds, not minutes.

Time-to-match

Average sourcing time dropped from 4–6 hours to under 90 minutes

Match acceptance rate

First-suggested experts were accepted 70% more often after redesign

Design decision 02

A structured agreement flow that removes ambiguity

Terms of engagement were previously negotiated ad hoc over email. I designed a guided flow that walked both parties through scope, rate, availability, and confidentiality — with clear defaults and inline explanations. This reduced back-and-forth and gave both sides a shared record of agreed terms before any engagement started.

60% Reduction in sourcing time after launch
−40% Fewer support tickets related to engagement disputes