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Hypothesis Formulation | Skills Pool

Skill File

Hypothesis Formulation

Structured scientific hypothesis generation from observations. Use when formulating testable hypotheses, competing explanations, or experimental predictions.

aiming-lab11,332 starsMar 31, 2026

Occupation
Categories: Data Analysis

Skill Content

Hypothesis Formulation Best Practice

Structured Hypothesis Development

Start with a clear observation or pattern that requires explanation
Review existing literature for known mechanisms and prior explanations
Identify what is already established vs. what remains uncertain
Formulate the hypothesis as a specific, testable statement
Ensure the hypothesis is falsifiable — define what outcome would refute it

Hypothesis Format

Null hypothesis (H0): There is no effect or no difference
Alternative hypothesis (H1): There is a specific, directional effect
State both explicitly; design experiments to reject H0
Use "If... then... because..." structure for mechanistic hypotheses:
- If [independent variable is manipulated], then [predicted outcome], because [proposed mechanism]

Generating Competing Hypotheses

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Hypothesis Formulation

npx skillvault add aiming-lab/aiming-lab-autoresearchclaw-claude-skills-hypothesis-formulation-skill-md

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Author: aiming-lab
stars: 11,332
Updated: Mar 31, 2026
Occupation

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01Hypothesis Formulation Best Practice

Propose at least 2-3 plausible explanations for the same observation
For each, identify unique predictions that distinguish it from alternatives
Rank hypotheses by parsimony, consistency with prior evidence, and testability
Design experiments that can discriminate between competing hypotheses
Consider confounding variables that could produce the same observation

Testable Predictions

Derive specific, measurable predictions from each hypothesis
Define expected effect direction AND approximate magnitude
Specify what experimental conditions would confirm vs. refute the prediction
Identify potential confounds and plan controls to address them
Ensure predictions are achievable with available methods and resources

Aligning with Experimental Design

Map each hypothesis to a concrete experimental condition or comparison
Ensure sample size is adequate to detect the predicted effect (power analysis)
Pre-register hypotheses and analysis plans when possible
Distinguish confirmatory (hypothesis-testing) from exploratory analyses
Plan for both positive and null results — what will you conclude in each case?

02

Structured Hypothesis Development

03Hypothesis Format

04Generating Competing Hypotheses

05Testable Predictions

06Aligning with Experimental Design

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