OpenAI's starter prompt for reviewing feedback on a product area over a set period, drawing on connected apps (Slack, Linear, GitHub, Google Drive) along with surveys, support tickets and research. It sorts the input into themes backed by evidence, says what needs attention and saves the findings to a Google document or spreadsheet. It may draft follow-ups but must not post or send them.
Analyze feedback on [feature or product area] from [time period] using @Slack, @GitHub, @Linear, and @Google Drive. Include any relevant support tickets, surveys, and research notes.
Group the feedback into clear themes, show the supporting evidence, and tell me what needs attention.
Put the findings in a Google Sheet or Doc I can review. Draft any follow-ups, but don't post or send them.
Analyze a research paper's findings and rigorThis prompt reads a research paper and returns a structured review with a summary, authors and organizations, key findings, and a study overview. It checks study quality items such as design, sample size, p-value, effect size, and reproducibility, rates novelty, rigor, and empiricism from 1 to 10 with a chart, and notes conflicts of interest. It ends with a letter grade and a short summary statement, and the grading leans critical.Research
Break down an earnings callThis prompt breaks down the transcript of a quarterly results call or investor conference for equity research. It pulls out what management said, the analyst questions, financial and operating signals, warning signs, and less obvious hints, then writes an executive summary in bullets.Research
Explain a bill or law, including what it plays downThis prompt summarizes a proposed bill or an existing law, lists the changes it would make, and contrasts how its backers present it with a balanced reading. It also points out parts that may get less attention, such as fees, loopholes, or cut programs, and their likely effects.Research
Extract ideas, insights, and quotes from long textThis prompt reads a transcript or long text and pulls out a summary, facts, habits, quotes, insights, and ideas, plus references, a one-sentence takeaway, and recommendations. It looks for what is surprising or interesting, especially on topics such as technology, learning, and human flourishing. Bullets are held to a fixed length, and the output is Markdown bullets with no warnings or notes.Research
Fallacy Finder for an ArgumentIdentify logical fallacies and provide fairer restatements for an argumentative text.Research
