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ReOps AI roadmap How do we use AI to get more out of a small research team?

Much of a research team’s time goes to the work around a study, like intake, recruiting, synthesis, and filing findings, rather than the research itself. Your team assesses how research runs today, and then we work together to decide what AI can take on, in what order, and who owns each change.

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The problem

Demand for research keeps growing, and your team isn’t.

  • Synthesis and write-ups take the time meant for new studies
  • Past research is hard to find, so studies get repeated
  • Intake, scheduling, and recruiting still run by hand
  • AI tools are approved, or on the way, with no plan for where they fit

Our point of view

AI can take real work off a research team, mostly in the operations around a study. The judgment in the research itself stays with people. Start with where your team loses time and quality, then decide what AI should take on, what stays human, and who owns each change. Your team knows how its research runs. We bring years of running research practices at scale, and of using AI in our own research.

What it is
A working session that turns your team’s own assessment into a roadmap
What it isn’t
An outside audit, a tool selection, or research done for you

How it works

Before
Your team maps how research runs today and where its time goes.
In the workshop
Your team and ours decide what AI can take on, in what order, and who owns each change.
After
Within 3 days, the roadmap written up for your team to run with

What you leave with

Research operations AI roadmap
Each change in order, laid out by quarter
Owners and requirements
For each change, who owns it, what it takes (tools, approvals, or help from other teams), and how you’ll know it worked
Quick wins
The changes your team can start right away
What stays human
The parts of research AI shouldn’t take on, and why

When to run it

  • Your research team is small, and requests keep growing
  • Leadership wants more research without more headcount
  • Your company has approved AI tools, and research hasn’t decided how to use them
  • PMs and designers run their own studies, and the quality varies
  • Past findings are hard to find, and studies get repeated

Where it leads

A full assessment of your research operations by us, for teams that want an outside view

Let’s get started.

Tell us about your team.

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