A Purpose-Built Research Workspace
Organize participants into studies and groups, invite them in bulk even if they've never signed up before, and get real descriptive statistics and correlation analysis computed directly from completed results.
Studies → Groups → Assignment → Analysis
Real Invitation Flow
Invite by email or bulk CSV — a genuine account is created automatically for a participant who doesn't already have one, with a random password never shared with anyone; the only way in is passwordless Login with OTP.
Study Groups & Demographics
Group A vs Group B, not just a flat participant list — plus a per-study demographic form builder with 9 field types you define yourself, not hard-coded Age/Gender fields.
Real Statistics, Not Estimates
N, mean, median, SD, min, max, variance — computed from actual result rows. Pearson correlation between two assessments only computes across participants who completed both, returning null rather than a fabricated number when there isn't enough paired data.
Anonymized by Construction
Every export row is keyed by an anonymized code (P-00001, P-00002...) — participant names and emails never appear in an export at all, not just hidden by convention.
Track Real Progress, Not Estimated Progress
Every study dashboard shows an actual Invited → Registered → Started → Completed count, pulled from real status rows.
What This Workspace Doesn't Do Yet
Conditional/sequenced assessment protocols, cross-assessment comparison analytics beyond descriptive stats and correlation, a data dictionary, formal consent-management tooling, and a full export center with format/privacy options are real, separate pieces of work not built yet — stated plainly rather than implied to already exist.