At the core
Practical strategies for product adoption, customer success and building AI-native experiences. Plus in-depth software reviews.
Docebo vs LearnUpon (2026): The One Public Docebo Price, User Minimums and Who Each Suits
Docebo's only public price is on AWS Marketplace: $35,900 a year for 500 yearly active users on 3 years. LearnUpon starts at 100-300 users, quote only. Checked 4 Nov 2026.
Skilljar vs Docebo for Customer Education (2026): Pricing, Audiences and Fit
Skilljar trains customers and partners only; Docebo trains everyone. Vendr medians: $38,972 vs about $42,000 a year. How they bill and when each fits. Checked 4 Nov 2026.
Whatfix vs WalkMe (2026): Pricing Model, SAP Ties, Desktop and Mobile, and How to Choose
Whatfix and WalkMe both quote every deal. Vendr medians: $31,950 vs $39,000 a year. How each one bills, where SAP changes the picture, and what reviewers say. Checked 4 Nov 2026.
Whatfix vs Appcues (2026): Employee Adoption vs In-Product Flows, With Pricing Explained
Whatfix guides staff across many apps; Appcues guides users inside your own product. How each prices (Vendr: $31,950 vs $15,000 a year) and which fits. Checked 4 Nov 2026.
Which Customer Onboarding Platform Has an MCP Server for Claude or ChatGPT?
Cor has an MCP server. Add Cor from Claude's connector directory and run Obi, the AI agent that works directly with every new customer, from Claude.
Our Help Center Lists the Steps. Can AI Walk Customers Through Them?
Your help center lists the steps. Obi, Cor's AI onboarding agent, works directly with every new customer to do them, using the docs you already have.
Self-Guided Onboarding Where Customers Must Finish Required Setup Steps: What AI Tools Can Do It?
Tours and videos didn't work? Obi, Cor's AI onboarding agent, takes each customer through your required setup steps and shows who hasn't finished.
Free Trial Users Drop Off Before They See Value in the First Week. What AI Can Get Them to Results Fast?
Trial users quit in week one before they see value. Obi, Cor's AI onboarding agent, works with each one to get set up and reach a first result fast.