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Research Operations: Build a Reliable Research Practice

Build research operations around recruitment, consent, tools and reusable evidence. Use a practical ownership table and a launch checklist for your next study.

Research operations is the work that makes repeated research possible: recruiting participants, handling consent and data, maintaining tools, and keeping findings usable. The goal is to remove recurring friction while protecting research quality.

Start with the bottleneck

List the last three studies and the steps that caused avoidable delays. Separate access problems from study-design problems. A participant database will not fix an unclear research question, and another analysis tool will not repair missing consent.

NN/g’s ResearchOps guide provides an overview of this operational discipline. The ownership table below is a practical starting point to adapt to your team.

Responsibility Accountable role Record to maintain Before a study starts
Research scope Study lead Decision and questions Someone can act on the findings
Recruitment Recruitment owner Criteria, channels, quotas and contact history Required user groups can be reached
Consent and access Study lead with the appropriate data owner Agreed uses, access and retention Participation and recording choices are understood
Tools Workspace owner Approved tools, permissions and export route Recordings and exports work in a pilot
Evidence storage Repository owner Study index and links to restricted evidence Readers can distinguish findings from raw data
Decisions Product or service owner Decision log and follow-up There is a review date and an owner

Small teams may give several responsibilities to one person. Keep the responsibilities visible even when the roles overlap.

Make recruitment repeatable

Maintain only the participant information needed for a stated research purpose. Record relevant experience and contact history rather than treating a job title as proof of eligibility. Use B2B recruitment guidance and a screener to qualify actual behaviour.

An opted-in panel can reduce repeated sourcing work, but it also creates selection and repeat-participation risks. Track invitations and past studies, make withdrawal easy, and use panel management to keep the pool relevant. Do not promise a fixed recruiting speed or response rate.

Explain the purpose, recording choices, access and intended use before a session. Research participation does not imply permission to use someone’s recording in public marketing. The GOV.UK informed-consent guidance is a useful operational reference; organisational and jurisdictional requirements still need to be established for your study.

For AI-assisted recording or synthesis, check the actual service and agreement rather than relying on a generic claim about privacy. See AI notetaker consent and the AI tool evaluation framework.

A study launch checklist

  • The research question could change a named decision.
  • Selection criteria describe relevant experience, including excluded groups.
  • Invitations, incentives and withdrawal procedures are documented.
  • A pilot confirms that access, recording and exports work.
  • Restricted evidence has an owner, an access policy and a retention decision.
  • Findings have a review meeting and a route into the decision log.

After the study, record where the process stalled and fix that part before adding more tooling. Track elapsed recruiting time, avoidable cancellations and whether a decision was actually recorded; interpret these alongside study complexity. Use research ROI for the distinction between operational efficiency and business impact.


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Author

About Vadim Glazkov

Vadim Glazkov is the founder of Glasgow Research and a product research expert working with founders and B2B SaaS teams on customer interviews, JTBD, market validation, and decision-ready research.

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