PromptVaultSensitive interview text reveals re-identification risk
For researchers screening confidential qualitative material locally before controlled release.
Works with
- Ollama
- Claude
- Perplexity
The prompt39 words · 3 blanks
What you fill in
- Interview material
[interview_corpus]ExampleDe-identified interview transcripts and participant metadata - Release setting
[release_context]ExampleShared with five approved university researchers under a data-use agreement - Likely attacker knowledge
[threat_model]ExampleRecipients may know participants’ employers, cities, and job histories
How to use it
- 1Open it in PromptVault. Find it in Data & Research, or search for “Sensitive interview text reveals re-identification risk”.
- 2Fill in the 3 blanks. interview material, release setting and likely attacker knowledge — the only things the prompt cannot know.
- 3Copy and paste it into Claude. It also works with Ollama and Perplexity.
About this prompt
“Sensitive interview text reveals re-identification risk” is a beginner data & research prompt. For researchers screening confidential qualitative material locally before controlled release. It is 39 words long and written to get a usable answer on the first message, in Ollama, Claude and Perplexity or any other chat assistant. Good for: analysis, audit, research and data analysis. Like every prompt in PromptVault, it was written and edited in-house, and it works offline once the app is installed.
More data & research prompts
All 50 in Data & Research
Citation lists checked for correction and retraction riskFor analysts verifying whether a source pack still supports the claim attached to it.- Dataset readiness exposed before analysis beginsFor beginners checking whether a dataset can safely answer its intended question.
- Codebook readiness scored before dual codingFor qualitative teams checking whether two coders can apply the same rules independently.
- Data-sharing requests arrive completeFor data custodians turning a request brief into a checklist that exposes missing safeguards.
- Has this research claim aged out?For analysts checking whether newer evidence has narrowed, overturned, or strengthened an older claim.
- Hidden denominator shifts inside a dashboard exportFor dashboard readers who need a quick judgment on whether changing totals distort the reported trend.