
Guidely
Product analytics, in-app guides and feedback
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- Freemium
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How AI and people discover Guidely on PeerPush
Nov 12, 2026
About Guidely
Guidely: understand, guide and listen to your users, all from one SDK Most product teams pay for five tools to learn how their product is used: one for analytics, one for in-app tours, one for session replay, one for error tracking and one for support chat. Each tool has its own snippet, its own copy of your users and its own bill. Guidely puts all of this on one platform. You install it once, see everything in one dashboard, and work from one set of users. SEE WHAT PEOPLE ACTUALLY DO • Product analytics: page views, funnels, retention, paths and a Product Engagement Score, so you can tell whether a release moved the needle. • Pages & Features: tag any page or feature by URL, text, selector or a click in your own app, then track who adopts it. • Session replay on web, iOS and Android. Privacy-first recording levels mask sensitive data by default. • Error tracking, performance tracing, uptime and cron monitoring. Each error links to the replay of the moment it happened. HELP PEOPLE WHERE THEY GET STUCK • Tours, tooltips, checklists, banners, surveys and a resource center, built in a visual editor and shipped without a release. • A/B test any guide against a control group, schedule launches, and show each person the guide in their own language with AI-drafted translations. • How-tos: click through your app once and Guidely records a step-by-step guide with screenshots, ready to share or embed. • A help center with versioned articles, plus articles that only logged-in users can see. • Feature flags and experiments, with SDKs for web, mobile and server. HEAR WHAT THEY NEED NEXT • Feature requests, voting, a public feedback portal and roadmaps, ranked by the revenue of the customers asking. • Complaints, NPS and in-app surveys, grouped by AI into themes with sentiment and trends. • Support reporting by conversation type, topic, outcome and client, so you know which pages create the most tickets. MEET SCOUT, YOUR AI SUPPORT AGENT Scout lives in the in-app messenger. It answers questions from your own help articles, starts the right walkthrough, and hands off to your team with the full context when a person should step in. Scout also reads your analytics and session recordings for you. Each week it tells you which pages need a look and where people struggled, and it can draft the tip or tour that would fix the problem. Guidely’s AI runs on Anthropic’s Claude models, using our key or yours. WORKS WITH THE TOOLS YOU ALREADY USE • SDKs for React, Next.js, Svelte, SvelteKit, plain JavaScript, React Native, native iOS (Swift) and Android (Kotlin/Compose), plus server SDKs for Node, PHP and Java. • Integrations with Salesforce, HubSpot, Segment, Zendesk, Intercom, Slack, Jira, GitHub, S3, BigQuery, Snowflake and webhooks. • A built-in MCP server, so you can ask Claude, ChatGPT or Cursor about your guides, analytics, feedback and support, and have them draft the follow-up. BUILT TO STAY OUT OF YOUR WAY The SDK is never a single point of failure. A stub snippet, a CDN fallback, a persisted event queue and a circuit breaker keep your app running even if Guidely is down. Custom environments (Dev, QA, UAT, Production) keep test data separate from real data. SECURITY YOU CAN SHOW YOUR CUSTOMERS Two-step verification is on by default. You also get per-workspace sign-in (password, Google, GitHub), role-based permissions with per-member grants, audit trails, and encryption in transit and at rest. A HIPAA mode with a click-through BAA is available for teams that handle health data. PRICING THAT NEVER SURPRISES YOU Start free, with no card and no time limit. Every metered product comes with a monthly free allowance, including 1M analytics events and 5,000 session recordings. Pay-as-you-go lifts the limits, and you set a billing limit for each product, so the bill never goes past it. Guides, checklists, surveys and the help center are never metered. Every feature is on every plan. Install once. Ship your first tour today, and watch how people use it tomorrow.
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Product Updates (2)
Guidely now shows what your backend did, next to every error, replay and deploy
A user hits a bug. Guidely already showed you their session replay, the stack trace and the clicks that led there. Now it shows what your backend was doing at that moment too. Connect your own Grafana, or Prometheus, Tempo and Loki directly, and you get: • The request's trace and log lines on every error • Backend spans in the trace waterfall • The requests behind a session replay • Metrics before and after each deploy, so a bad release stands out • What your backend did during an incident Everything is queried live. Nothing is copied into Guidely. On a private network? Run the Guidely relay in your AWS, GCP or Kubernetes. It only connects out over HTTPS, keeps your credentials in your cloud and runs read-only queries. A Docker image, Helm chart and Terraform for ECS and Cloud Run are included. AI issue analysis now reads the backend trace and logs too, so its explanation of a bug covers both sides of the request. If you work in Claude, ChatGPT or Cursor, four new MCP tools let your assistant query your stack directly. Guidely puts in-app guides, the Scout AI messenger, product analytics, session replay, error monitoring and feature flags in one platform. Start on the free plan and pay as you go after that. Try it free at guidelytech.com
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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.
Comments (1)
Reading support questions, code errors and session analytics together to find where they overlap is a practical angle, since most small teams only look at one of them. Curious how it behaves for a young product with sparse analytics data.
@tomerbarm We have a few products with very little traffic. Scout takes a little longer to ensure good feedback based on user flows. You are still able to see trends with the traffic you have. Also the free tier will more than cover you.
Reviews (2)
Average 4.5 out of 5
Based on 2 reviews
Based on the live tour and demo on its page: the guided setup checklist and the combined analytics and onboarding view are clear and easy to follow. I would like to see more detail on pricing tiers.




Comments (2)
Guidely combines product analytics, guided tours, and user feedback in one platform. Eliminates the need to juggle five separate tools. Seamless integration with your stack and AI-powered insights deliver real value for product teams.
The live tour walks through a setup checklist and contact-record UI, while the demo shows guides published and sessions tracked. Seeing analytics and in-app onboarding together is a clear product direction.
@nckbrz Thank you. Our aim is to be a one stop shop. This way we can see how users are using the system, interact with them and also see errors down to the nitty gritty details in one place.