customer-feedback-analysislisted

# Customer-feedback analysis Turn a bounded sample of customer feedback into traceable themes and hypotheses. Keep reviews and social discussion distinct: a Reddit commenter is not necessarily a customer, and sentiment in a sample is not a population satisfaction measure. ## Setup Set `CRAWLORA_API_KEY` to your key from [crawlora.net](https://crawlora.net). Run the bundled `scripts/crawlora.sh` from this skill directory or by absolute path. It sends `x-api-key` to `https://api.crawlora.net/api/v1` and prints JSON. Keep the key in the environment. Read [reference/endpoints.md](reference/endpoints.md) for supported sources, discovery endpoints, IDs, and pagination. ## Collect a comparable sample 1. Define the product(s), question, market/language, time window, and sample bound from the brief. Resolve exact products before collecting feedback. Keep app versions, product models, and company-wide service reviews separate. 2. Choose relevant sources, rather than querying all of them: | Source | Identity and collection details | |---|---| | App Store | Search with `term`; reviews require numeric `id` or bundle `app_id`. Pages 1–10; `sort=mostRecent` or `mostHelpful`; specify `country`. | | Google Play | Search/details resolve package `app_id`. Reviews use `num` (max 1000), `country`, `lang`, and `sort=newest`, `helpfulness`, or `rating`. Read rows under `data.data` and follow `data.next_pagination_token` only within the sample bound. | | Stored app reviews