Case study · AI Research Engine
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[Case study title]

[Two sentences: who ran the study, what they had to decide, and why it mattered.]

Team[Team or role]
Research question[The question]
Methods[Methods used]
Inputs[Documents, data, fieldwork]

How the study ran

01

Strategize

Human in the loop
Agents

[Goals, hypotheses and scope produced.]

Researcher

[What was provided and what changed at review.]

02

Plan

Human in the loop
Agents

[Methods proposed, sample suggested, instruments built.]

Researcher

[Methods added or removed.]

03

Execute

Human in the loop
Agents

[Dry run, if used, and what it caught.]

Researcher

[Fieldwork run and data brought back.]

04

Analyze

Agents

[Codes, themes and insights produced.]

Researcher

[Started the analysis.]

05

Recommend

Agents

[Recommendations drafted and how they were packaged.]

Researcher

[Started recommendations.]

06

Decide

Human in the loop
Researcher

[What was accepted, what was parked, and why.]

One recommendation, traced back

[One sentence introducing the thread below.]

EvidenceVerified

“[Verbatim quote]”

[Source · Participant]
Code

[Code]

Theme

[Theme]

Insight

[Insight]

Recommendation

[Recommendation]

Accepted

Outcome

Accepted

[Recommendations accepted.]

Parked

[Recommendations parked, and why.]

[What changed as a result.]