# Sentiment analysis request · [Topic] · [Date] **Requester:** [PM] **Decision it informs:** [Decision] **Due:** [Date] ## Question [For example: "What are the main sources of frustration among mid-market customers in the last two quarters, and are they linked to lower retention?"] ## Sources and window | Source | Connector or export | Time window | Approx. volume | Data restrictions | |---|---|---|---|---| | | | | | | ## Data handling - Personal data to remove: - Customer contract or residency limits checked by: [name] - Approved tool: ## Codebook Use codebook v[n] (attached). New themes may be proposed separately, not added. Sentiment: positive / negative / mixed / neutral, per theme mentioned (aspect level), not only per item. ## Known hard cases to test - Negation ("would be great if it stopped...") - Sarcasm - Positive question framing with negative answers - Domain terms: [list] ## Validation - Human-labeled sample: [n] random items, labeled by [names] before seeing machine output - Report agreement, disagreements and theme shares (human vs machine) ## Outputs - Theme table with counts, shares and trends - Three verbatims per theme with source references - Link to account retention and revenue where the source allows - Confidence statement and known weaknesses