One Small Step for Space Acquisition Doctrine
Appendix B Model Prompts
Prompt: Interpretation-Focused Coding I'm a researcher conducting a survey on Acquisition Best practices. The following Word document contains a question from a survey. There should be roughly 45 total responses. There may also be fewer respondents if participants skipped the question. All data should be used to formulate codes. Start with an overview of the data. Next, in order of importance, provide at least 10 descriptive codes based on (1) the research question, (2) the frequency of similar responses to the question, and (3) the richness of the responses to the question. Codes should be 4–6 words. To build traceability, provide at least 2–3 quotes from the survey that point to each code. Said differently, provide a code and follow it with direct quotes. Finish by restating the codes with no quotes (just a list).
Example below:
"-Code 1 --"Quote 1" --"Quote 2" --"Quote 3" -Code 2...
Rank Ordered Codes List"
Prompt: Tenet Alignment I'm a researcher conducting a survey on Acquisition Best practices. The following Word document contains (1) a tenet for Space Acquisition from the Space Force Service Acquisition Executive and (2) a survey question. There should be roughly 45 total survey responses. There may also be fewer respondents if participants skipped the question. Review all data and provide an assessment of the question versus the tenet. Do the survey responses align with the tenet? The goal is to determine if the survey answers align with the sentiment of the tenet. If you were to put a percentage to it, how well do the answers align with the tenet? Prompt: Sentiment Analysis I'm a researcher conducting a survey on Acquisition Best practices. The following Word document contains a survey question. There should be roughly 45 total responses. There may also be fewer respondents if participants skipped the question. Review all data and provide an assessment of the participant response sentiment into the following categories: positive, negative, and neutral. Give percentages rounded to the nearest percent (e.g., 60% positive or 25% negative).
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Defense ARJ, Summer 2025, Vol. 32 No. 2: 132—193
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