failure-handling

What problem does it solve?

This Skill equips you with a structured approach to handle negative results, failed experiments, and replication failures, ensuring transparency and integrity in your research.

Core Features & Use Cases

• Result Characterization: Clearly define the type and strength of evidence from your experiments.
• Discrepancy Diagnosis: Systematically evaluate methodological, theoretical, and sampling explanations for discrepancies.
• Decision Framework: Decide whether to revise, replicate, or abandon your hypothesis based on the evidence.
• Transparent Reporting: Guide you through writing up negative results and handling preregistration violations.
• Use Case: When you've conducted an experiment and obtained null or unexpected results, this Skill helps you interpret the findings and decide on the next steps.

Quick Start

Use the failure-handling skill to diagnose the discrepancy in your experiment results and decide on the appropriate action.