pico-application

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SOP: apply the PICO/PICOTS framework to structure a research question

yogsoth-ai By yogsoth-ai schedule Updated 6/16/2026

name: pico-application description: 'SOP: apply the PICO/PICOTS framework to structure a research question' version: 1.0.0 category: hypothesis-formation type: sop campaign: research-question input: 'Research intent + hypothesis' output: 'Complete PICO fill-in + RQ statement' dependencies: skills: - subagent-spawning

PICO Application

Apply the PICO/PICOTS framework — suited to quantitative/interventional research.

HARD-GATE

Input must contain: a clear research intent (involving an intervention or quantitative comparison).

Pipeline

  1. Precondition check: confirm the research is suited to the PICO framework
  2. P (Population): define the target population/subjects (specific characteristics)
  3. I (Intervention): define the intervention/exposure/method
  4. C (Comparison): define the control group/alternative
  5. O (Outcome): define the expected outcome/measurement indicator
  6. T (Timeframe): optional — define the time range
  7. S (Setting): optional — define the research setting
  8. Assembly: assemble the components into a complete RQ sentence
  9. Output: PICO fill-in table + RQ statement

Output Format

P: [Specific population description]
I: [Specific intervention description]
C: [Specific comparison description]
O: [Specific outcome indicator]
T: [Time range] (optional)
S: [Research setting] (optional)

RQ: "In [P], does [I] compared to [C] improve [O] (within [T], in [S])?"
Install via CLI
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill pico-application
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