A multi-phasic study on how to improve Facebook Reality Labs' internal research recruitment process — designed and conducted during the early days of COVID-19.
In early February 2020, I finished co-interviewing over a dozen Facebook internal participants for an unrelated study. Recruiting had been challenging — stratified persona-based targeting combined with low response rates from employees, largely driven by incentive policies, made internal research frustratingly difficult.
As COVID-19 escalated and labs faced imminent closure, I anticipated an even greater reliance on internal participants. I identified this as a research opportunity and teamed up with a fellow Research Assistant. We reframed the problem: insofar as low engagement was a matter of user experience, how might we improve the internal recruiting and research process to provide a richer, more engaging experience for FRL employees?
Participants were stratified across 5 job types to ensure a diverse sample, recruited via proprietary Facebook platforms. A discussion guide was piloted with an independent FRL employee before the full study launched. Each interview was followed by a debrief between both researchers to align on notes and impressions.
Specific findings are covered by NDA. However, our preliminary insights identified clear user needs and pain points in the internal recruitment experience that were previously unaddressed. These were synthesized into a high-level summary and presented to FRL stakeholders.
Insights from Phase 1 were presented to FRL stakeholders and made immediate impact on how internal teams thought about the research process. The study shifted how leadership understood and prioritized internal participant experience — a problem that had previously gone unexamined.
Phase 2 — a large-scale mixed-methods survey targeting the broader research org — was initiated to substantiate Phase 1 findings and provide actionable direction for stakeholder teams. Methods deployed or planned included interviews, surveys, usability tests, card sorting, affinity mapping, thematic analysis, and concept testing.