SpecSheet
A pre-registration and analysis-transparency workspace for empirical research teams that, on submission, automatically generates a 'specification curve' showing how conclusions shift across your team's reasonable analytical choices.
Empirical research teams in economics, political science, epidemiology, and social science
- Collaborative pre-registration workspace where teams declare analytical choices in advance
- Specification-curve generator that runs the team-agreed alternative analyses at the push of a button
- Reviewer-friendly 'm-value' report attached to submissions showing each result's position in the analytical space
- Audit trail for reproducibility, satisfying journals and funders
The arXiv paper formalizes 'm-value' as a credibility metric — research teams that adopt it now will be ahead of journals that are likely to require it within a few years.
Specification curve methodology is established (Nature Human Behaviour 2020 paper, Harvard Business School tutorials, Python package on PyPI) but remains an emerging niche practice rather than a journal requirement yet.Specification curve analysis - Nature Human Behaviour ↗specification-curve · PyPI ↗
Specification curve generation is already covered by a Python package, R packages, and tutorials; pre-registration is dominated by OSF (free, well-funded by COS), AsPredicted, and Zenodo — bundling both into a paid workspace competes against a free, established incumbent.Welcome to Registrations & Preregistrations! - OSF Support ↗specification-curve · PyPI ↗
Academic research tools monetize poorly — OSF is free and open-source, AsPredicted is free, and university budgets for research software are limited; institutional sales (similar to OSF Institutions) are possible but slow and require trust-building against a free incumbent.OSF ↗Open Science Framework Pricing 2026 - ITQlick ↗
Reproducibility crisis ensures this need persists for decades
Core spec-curve computation is already solved via existing Python/R packages, but building a full pre-registration workspace with team collaboration, journal-submission integration, and competing against OSF's mature infrastructure is substantial engineering and go-to-market work.specification-curve · PyPI ↗OSF ↗