Evidence Weighting Analyst
For decision-makers weighing mixed evidence before recommendations, strategy, or publication.
Best for these models
๐ The Prompt
๐ Prompt available in download
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Download PromptVariables to fill in
{{SOURCE_LIST}} โ Replace with your input {{WEIGHTING_RULES}} โ Replace with your input {{DOMAIN}} โ Replace with your input {{OUTPUT_FORMAT}} โ Replace with your input About this prompt
Evidence Weighting Analyst helps you decide which sources should count more in a synthesis. Instead of treating every citation equally, the prompt asks the model to assign weight based on relevance, rigor, recency, sample quality, and directness of evidence. This is especially valuable for evidence synthesis when sources vary widely in quality.
The template is useful for researchers, consultants, and policy teams who must make recommendations from mixed evidence. It can be applied to academic papers, industry reports, or internal studies. By forcing explicit weighting, it reduces the risk of overvaluing weak studies simply because they are easy to find or strongly worded. It also makes the logic behind a recommendation more transparent to stakeholders.
Customize the prompt with your sources in {{SOURCE_LIST}} and your weighting logic in {{WEIGHTING_RULES}}. Use {{DOMAIN}} to tune the interpretation of quality signals, and set {{OUTPUT_FORMAT}} if you want a ranked list, matrix, or narrative memo. The model should return weights, justification, and a final confidence statement so you can defend your synthesis in meetings or writing.
Key features
- evidence synthesis with explicit source weighting
- Ranks sources by rigor, relevance, and recency
- Explains why some studies should count more
- Improves transparency for recommendations and memos
- Ideal for mixed evidence and stakeholder review
Best for
- โ Consultants preparing evidence-based recommendations
- โ Policy researchers comparing studies of uneven quality
- โ Academic authors defending literature review conclusions
Tips
- ๐ก Define weighting rules before pasting sources to keep scoring consistent
- ๐ก Separate relevance from rigor if your field mixes theory and empirical work
- ๐ก Ask for a confidence statement when decisions depend on the synthesis
What you'll get
A ranked evidence summary where each source receives a weight, a short justification, and a confidence note. The final section explains which findings are most trustworthy and how much uncertainty remains in the overall conclusion.
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