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Experiment design

Ask for a study design and get a design report grounded in reference studies, with a protocol flow diagram, power analysis and expected-results figure.

Updated

Start

There is no slash command — describe the experiment:

text
Design a two-arm randomized experiment to test whether a 4-week HRV biofeedback program lowers perceived stress (PSS-10) in university students compared with an active control. Ground it in how related studies were designed and include participants, measures, protocol flow and a power analysis.

The design starts immediately — there is no survey. Anything the request leaves open (participants, the primary measure, the manipulated levels, the setting) is settled from what the reference studies typically do; those assumptions are listed in the design basis and in the first line of the chat summary, so you can redirect them in a follow-up turn. Put the constraints you care about in the request itself.

What you get

  • <topic>_experiment_design.md — one-line summary, research objective, hypotheses, design, participants and inclusion criteria, conditions, measures, procedure, analysis plan, power analysis, ethics and limitations.
  • <topic>_reference_designs.md — how the closest published studies were designed, with citations.
  • <topic>_protocol_flow.svg — recruitment → screening → randomization → intervention → follow-up.
  • <topic>_power_curve.svg — required N across plausible effect sizes.
  • <topic>_expected_results.svg — what the primary result would look like if the hypothesis holds.
The design report with the protocol flow in the panel.
The design report with the protocol flow in the panel.
The power curve.
The power curve.

Refine

Ask for changes in plain language: "make it a crossover", "add a 3-month follow-up", "use PSS-4 instead". The report is revised as a new version; the figures are regenerated to match.

Walkthrough: Designing the experiment.