Jumping Elephants
Apr 2024
Our UX research projects were consistently delayed because recruiting diverse, qualified participants across Canada took weeks and consumed significant budget resources.
I redesigned our entire recruitment workflow by mapping current inefficiencies, then building an automated system that balanced speed with quality. My approach focused on creating repeatable processes that could scale across multiple concurrent studies.
I worked closely with our UX Research team to understand participant criteria, collaborated with our Analytics team to track conversion metrics, and partnered with our Creative team to develop compelling outreach materials that improved response rates.
The new system reduced recruitment time from 6 weeks to 4 days while maintaining participant quality and improving demographic representation. This efficiency gain allowed us to take on 40% more research projects without increasing headcount.
The solution stayed within our existing software budget and gained executive visibility when leadership saw the dramatic improvement in project delivery timelines.
Automation works best when you thoroughly understand manual processes first, mapping every inefficiency revealed opportunities I hadn't initially considered.
Cross-functional collaboration was essential; the Analytics team's conversion tracking insights helped optimize participant touchpoints I wouldn't have identified alone.
Building stakeholder buy-in requires demonstrating quick wins early, showing 50% time savings in the first pilot study secured full leadership support for the broader rollout.
Sustainable systems need built-in flexibility; designing the workflow to accommodate different study types prevented the need for constant manual workarounds as our research scope expanded.
Data-driven decision making transforms team dynamics, having real-time recruitment metrics shifted our conversations from reactive problem-solving to proactive capacity planning.
