Research participant working through a digital task at a desk.
Participant infrastructure for modern research

Run contributor-driven studies without running your ops by hand.

ClusterCairo helps AI labs, research teams, product organizations, and expert networks register participants, screen fit, assign studies, review quality, and manage payout readiness from one structured system.

Registration Capture contributor profiles with structured intake.
Screening Qualify for fit, expertise, and quality before assignment.
Study ops Manage routing, completion, and payout visibility together.

A research ops layer built around people, not generic CRM records.

Intake

Capture real participant detail at the point of entry.

Collect expertise, demographics, device access, language, location, and availability with structured registration flows.

Qualification

Screen and rank for study fit.

Use review queues, screener rules, manual approval, and quality criteria before participants reach live work.

Team reviewing participant operations and research dashboards together.
Operations

Assign studies, manage status, and keep execution visible.

Track invitations, scheduling, task completion, researcher notes, and progress states in one workflow.

Retention

Build a stronger network over time.

Keep contributor history, repeat-cohort lists, trust notes, and payout readiness connected across studies.

Attract high-fit people, not just top-of-funnel volume.

Participant joining a remote interview session.

Professional evaluators

Support research participants who can return for recurring assessments, reviews, and language-heavy tasks.

Analyst reviewing dashboards and contributor metrics.

Expert cohorts

Run qualification flows for healthcare, finance, policy, technical, or industry-specific participant groups.

Research team discussing candidate selection and study matching.

General research pools

Create structured intake for product research, concept testing, interviews, surveys, and mixed-method studies.

Participants

Join the contributor network

Create a participant profile, share expertise, and get matched to relevant studies, interviews, and evaluation programs.

Participant Signup
Research teams

Access the researcher workspace

Review applicants, manage cohorts, route studies, and keep research operations controlled from one secure dashboard.

Researcher Login

Keep enrollment, screening, notes, and status tied to the same operational record.

ClusterCairo keeps each study connected to the participant network instead of scattering context across forms, calendars, and spreadsheets.

Study type Cohort Status
Model evaluation sprint Bilingual reviewer pool active
Product interview round Fintech decision-makers scheduling
Expert annotation batch Clinical specialists review
Concept feedback mission Repeat contributors paid

See participant quality, cohort strength, and study readiness without stitching reports by hand.

ClusterCairo gives research teams a clearer operating picture across intake, assignment, repeat participation, and study performance.

Decision view

One place to review the network behind the work.

Instead of checking forms, spreadsheets, recruiter notes, and payout logs separately, teams can review contributor health and program momentum from one system.

Repeat-ready Contributors approved for future studies and recurring use.
Study health Live visibility into qualification, response, and completion flow.
Coverage

Know where the network is strong.

Track whether language, expertise, device access, or geography gaps are slowing study setup.

Quality

Keep review signals close to assignment decisions.

Use prior outcomes, moderation notes, and completion quality to guide who gets routed next.

Retention

Build stronger participant memory over time.

Retain a dependable contributor base instead of restarting recruitment and screening from scratch each cycle.

Quality review, contributor memory, and payout readiness belong in the same product.

Why it matters

Research teams do better work when they know who completed prior studies well, who required moderation, who qualifies for repeat cohorts, and who is ready for payout.

Profile history

Keep contributor notes, participation counts, and expertise context attached to the person.

Quality flags

Track review outcomes, low-quality patterns, and confidence signals for future assignment decisions.

Payout status

See completion, approval, and readiness signals without building separate manual accounting flows.