The Problem
You Didn't Hire Researchers To Manage Spreadsheets
As UX teams grow past 3-4 researchers, someone ends up owning recruitment, scheduling, tooling, and the repository. Most often times without the title, the time, or the systems to do it well. It happens gradually: a spreadsheet here, a Notion doc there, tribal knowledge that lives in one person's head. Then that person goes on leave, or leaves the company, and the whole thing stalls.
Recruitment Bottlenecks
Where researchers lose the most time before ResOps exists
Recruitment Pipeline
Starts from zero every study
65% post research participant data lost
No-show Follow-ups
No systems, chased manually
Hours per week lost to poor coordination
Study Delays
Recruitment lag pushes timelines back
No Panel, No Playbook
Every study starts from zero because there's no system built to carry forward what you already know.
Insights That Disappear
Where research knowledge currently goes to die
Docs & Wikis
Scattered across Notion and SharePoint with no shared taxonomy
Chat & Messaging
Buried in Slack and Teams threads, gone within weeks
Spreadsheets & Email
One-off trackers nobody remembers to check after a study ends
Knowledge With No Home
Insights exist somewhere, they're just never findable when you actually need them again.
Compliance Left to Chance
What we find in almost every audit
Documented
Partial
Missing
Common Gaps
What typically shows up before ResOps exists
No documented data retention or deletion policy
Consent forms handled inconsistently across studies
PII access isn't role-restricted
GDPR/CCPA compliance handled ad hoc
No NDA process for participants or vendors
No audit trail for who accessed what data, when
Risk Hiding in Plain Sight
Without documented process, compliance isn't broken until the moment it actually matters.
Our solutions
What You Get With Rexio
Benefits
From First Conversation to Fully Operational
A clear path from discovery call to ongoing partnership. Built for teams with no guesswork about what happens next.
Pricing
Flexible Pricing for Every Business
Comparison
What Changes Once ResOps Exists
Recruitment starts from zero, every study
Insights buried across Slack, Notion, spreadsheets
Compliance handled ad hoc, if at all
One person's tribal knowledge holds it together
No system for re-contacting past participants
Ops eats into actual research time
Scaling means hiring, budgeting, a 3-6 month ramp
Panels built once, reused for every study
One searchable repository, insights found in seconds
GDPR/CCPA compliance built in from day one
Documented systems that outlast any one person
Participants re-engaged systematically, not by memory
Researchers spend their time researching
Senior ResOps ownership from day one
How is this different from hiring a full-time ResOps person?
We already have some processes in place. Is this still useful?
What's the time commitment on our end?
How do you handle data privacy and compliance?
Do you work with teams smaller than 3 researchers?
