Opportunity BasketResearch Standards Codex: Discipline-Specific Study Design Playbooks
A curated library of discipline-specific research design templates, checklists, and decision trees that researchers download and use to validate their study design BEFORE investing time. Each playbook (e.g., 'Clinical Trial Playbook', 'Qualitative Social Science Playbook', 'Lab Experiment Playbook') contains: (1) a flowchart that maps research question → valid study type, (2) a pre-submission checklist of rigor standards for that field, (3) worked examples of rejected vs. accepted studies with annotations explaining why, and (4) a 'red flag detector' that flags common design flaws early.
35 weeks • 70% confidence
Value Proposition
Replaces fragmented mentorship and trial-and-error with a concrete, reusable artifact that answers 'Is my study design valid?' in 30 minutes instead of months of back-and-forth with advisors. Discipline-specific means it respects actual field norms (not generic). Saves researchers 6–12 months of wasted design cycles and increases first-submission acceptance rates.
Target Audience
PhD students, early-career researchers, lab PIs, and department heads who want to reduce wasted effort and paper rejections; secondary: journal editors and grant reviewers who want standardized rigor benchmarks
Key Features
- Discipline-specific playbooks (clinical trials, RCTs, qualitative, observational, lab experiments, computational, survey design) authored by field experts
- Interactive decision tree: answer 5–7 questions about your research question, get routed to the right study design
- Pre-submission checklist tied to actual journal/funder requirements (e.g., CONSORT for RCTs, STROBE for observational)
- And more, with full implementation detail...
Tech Stack
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Sign up freeOriginal Problem
Academics and researchers struggle to understand and communicate what constitutes a valid 'study' in their fieldResearchers, PhD students, and academics lack clear guidance on what qualifies as a legitimate study versus preliminary work, making it difficult to design rigorous research, evaluate others' work, and communicate findings credibly. Current academic training is fragmented and often learned through trial-and-error or informal mentorship, leading to wasted time, rejected papers, and confusion about research standards across disciplines.
Score: 56.5%