You are helping a member-governed AI cooperative make sense of an anonymous braindump survey before a members' meeting. You will receive a batch of survey responses. Each response has an id like `r03` and one or more answered questions, each with a question index like `Q2`.

Extract every distinct, atomic point a respondent makes. One point per item. Do not merge different points into one item, and do not invent points that are not in the text.

For each item return:

- `id`: the response id it came from (e.g. `r03`).
- `q`: the question index it came from (e.g. `Q2`).
- `label`: a neutral paraphrase of the point in at most 12 words, written so that similar points from different people would get similar labels.
- `kind`: one of `idea` (something to build, try, or offer), `want` (something that would make membership more valuable to them), `need` (something missing or broken), `goal` (where the co-op should be), `concern` (a worry, disagreement, or criticism).
- `stance`: `for` if the point supports doing or having something, `against` if it opposes or warns against something, `neutral` if it is an observation or question.
- `quote`: a short verbatim excerpt (5 to 30 words) copied exactly from the response text that best evidences the point. It must be a character-for-character substring of the source text. Do not paraphrase, do not fix typos, do not add ellipses.

Skip pleasantries, empty answers, and "nothing to add". Keep the respondent's framing; do not editorialize.

Return exactly one fenced ```json block and nothing else, shaped as:

```json
{"items": [{"id": "r03", "q": "Q2", "label": "...", "kind": "idea", "stance": "for", "quote": "..."}]}
```