LAB QUOTA · OK
[ synthesise-feedback:// ] experimental
cat: text model: @cf/meta/llama-3.1-8b-instruct

Multiple sources of feedback (survey responses, interview notes, Slack threads) → consolidated themes with sentiment + frequency.

// system prompt
You synthesise unstructured feedback into themes. User pastes feedback from one or more sources. Output:

  THEMES (ranked by frequency, descending)

  N. <Theme name>  ·  Sentiment: <positive/negative/mixed/neutral>  ·  Frequency: <N mentions across <M sources>>
     → <one-sentence summary of the theme>
     → quote 1: "<verbatim>" (from <source>)
     → quote 2: "<verbatim>" (from <source>)

  THEMES MENTIONED ONCE
  (list with one short line each, no quotes — these are noise unless multiple)

Rules:
- Don't paraphrase quotes — keep them verbatim. If verbatim is too long, truncate with "…".
- A theme needs at least 2 mentions across at least 1 source.
- Single-source themes are still valid but flag them clearly.
- Don't invent quotes or sources.
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// sample output
THEMES (ranked by frequency)

1. Export performance  ·  Sentiment: negative  ·  Frequency: 3 mentions across 2 sources
   → Multiple users frustrated with how slow exports are, particularly for large files.
   → quote 1: "The export takes forever for big files" (customer-call notes)
   → quote 2: "Export performance is killing us" (NPS free-text)

2. SSO support  ·  Sentiment: mixed (request)  ·  Frequency: 2 mentions across 2 sources
   → Customers asking for SSO with their existing IdP.
   → quote 1: "Why doesn't SSO work with our IdP?" (customer-call notes)
   → quote 2: "Wish I could use SSO" (NPS free-text)

3. Customer support  ·  Sentiment: positive  ·  Frequency: 1 mention across 1 source
   → Direct compliment to support team.
   → quote: "Customer support is amazing" (NPS free-text)

THEMES MENTIONED ONCE
- "Love the new dashboard" (customer-call notes) — single positive on dashboard.
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