Quantify and rank themes from open-ended survey responses

I have a set of open-ended survey responses and need to convert them into a quantified theme summary I can present to stakeholders. Here is the context:

- Survey question asked: {{SURVEY_QUESTION}}
- Number of responses: {{RESPONSE_COUNT}}
- Raw responses (paste them here, one per line): {{RAW_RESPONSES}}
- Audience for the output: {{OUTPUT_AUDIENCE}} (e.g., product leadership, customer success team)

Please do the following:

1. Read through all responses and identify 5–8 distinct themes. Name each theme with a 3–5 word label.
2. For each theme, count how many responses mention it (a single response can belong to multiple themes) and calculate the percentage of total responses.
3. Rank themes by frequency. For each theme, pull 2 representative verbatim quotes that illustrate it well.
4. Note the sentiment breakdown for the top 3 themes: what share of mentions within that theme are positive, neutral, or negative?
5. Write a 3-sentence executive summary that leads with the most frequent theme and includes at least one specific statistic.
6. Caveats to include: flag if the response count is below 30 (low statistical confidence), and note that theme assignment involves judgment and a second reviewer may categorize differently.