
Guidely
Product analytics, in-app guides and feedback
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- Target Audience
- Pricing
- Freemium
- Platforms
About Guidely
Guidely shows which features your users actually use, lets you guide them through in-app guides without shipping a release, and collects the feedback that tells you what to build next. It combines product analytics, in-app guidance, feedback collection, and AI support in one place.
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Your key, your account: how Guidely reads your support, errors and analytics with Claude
Guidely sees your product from several angles at once. There are the questions people ask Scout, the errors your code throws, the recordings of what people actually did, and the analytics behind all of it. Each one tells you something. The useful part is where they overlap: the page where rage clicks went up, a new error started, and three people asked Scout why the Save button does nothing. Claude reads all of it for you. Add your own Anthropic API key to a project and every one of those AI features runs on your account. One key, every AI feature You add the key once per project, under Settings → Scout → Anthropic API key. That one key then powers every AI feature in the project, not only Scout. Messages and support Scout answers in the messenger, using your help articles, FAQs, how-tos and live guides. Learned answers. When a teammate resolves a conversation, Scout writes down what the teammate said so it can answer the next person who asks. Conversation reports. Each conversation gets a type (question, issue, feature request, feedback), a support topic, and two short notes: what the person needed and how it ended. These drive Reports → Conversations and the help-by-page view. Support by client. A short brief on what your busiest clients are asking about and what's being done about it. Feedback themes. Feature requests, survey comments, NPS replies, complaints and classified conversations are grouped into themes and given a sentiment. You can also ask questions about your feedback in plain English. Feature-request capture. Conversations that ask for a feature are linked to the matching request, or filed as a new one for you to review. Likely duplicates are flagged. Agent analytics. Conversations with your own AI agent get a topic, a sentiment, an outcome and a one-line summary.
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