Research Ops

Build research operations that improve quality, speed, and ethics through recruiting systems, repositories, templates, and governance. Use when scaling research practice across teams or reducing operational friction in studies.

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Research Ops

Overview

Research Ops (ResearchOps) enables researchers to do more rigorous work with less overhead — participant management, knowledge management, tools, and standards.

When to Use

  • Scaling a research practice beyond a few people
  • Fixing recruiting bottlenecks
  • Building insight repositories
  • Standardizing ethics, consent, and incentives

Core Practices

  • Create participant panels and fair recruiting processes
  • Maintain templates for plans, guides, and consent
  • Build searchable repositories for past studies
  • Define tooling stack and access
  • Set quality and ethics guidelines lightly but clearly
  • Measure ops health (time-to-recruit, reuse rates)

Principles

  • Ops should reduce friction, not add bureaucracy
  • Knowledge reuse multiplies research ROI
  • Participant experience is part of brand and ethics
  • Central standards + team autonomy is the balance

Verification

  • Researchers can find and reuse prior work
  • Recruiting time is measured and improving
  • Consent and incentive processes are consistent

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