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ResearchOps: a starter guide for small teams

June 27, 2026 · 7 min read

As research grows from a few studies into an ongoing practice, the busywork grows with it — recruiting, scheduling, consent, tooling, and keeping findings organized. ResearchOps is the function that takes that weight off researchers so they can spend their time on the research itself.

What is ResearchOps?

ResearchOps (research operations) is the set of people, processes, and tools that support research at scale — the plumbing that lets a team do more research, more consistently, without each study reinventing the wheel.

The pillars that matter

• Participants — recruiting, scheduling, consent, and a reusable participant database.
• Tools and data — a research repository and the systems around it.
• Governance — consent, privacy, access control, and data retention.
• Knowledge — insights, themes, and a shared taxonomy.
• Process — light templates and standards so studies stay consistent.

Your first 90 days

• Weeks 1–4: centralize participants and set a consent baseline.
• Weeks 5–8: stand up a repository and agree on a starter taxonomy.
• Weeks 9–12: add templates for studies and insights, plus a review ritual.

Start small

You do not need a heavy program on day one. The goal is to remove friction, not to add process for its own sake — so automate or centralize the thing that is currently costing your researchers the most time, then move to the next.

How Lens helps

Lens brings the participant database, consent, repository, taxonomy, and role-based access into one place — a lot of the ResearchOps toolkit out of the box. See the use cases for the research-ops view.

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