feature requestProductivity · Project ManagementsituationalOnboardingDocumentationB2B

Monday.com lacks structured onboarding and peer training resources

New users of Monday.com wish they had access to company-led training sessions and community tips from power users. The gap between raw capability and practical usage guidance slows adoption. Structured onboarding would reduce time-to-value for enterprise teams.

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3.25

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Similar Problems

surfaced semantically
Customer Experience92% match

Work Platform Users Want Clearer Training and First-Time Onboarding Help

New users of platforms like Monday.com report unclear training materials and a lack of accessible first-time user guidance. Without better onboarding support, users are left uncertain how to fully utilize the platform's features.

Customer Experience89% match

Users Want Live Phone-Based Training Instead of Chat-Only Support

Some users of AI work platforms prefer live, call-in training sessions for onboarding questions but only have access to chat-based support. This points to a gap in support-channel options for users who learn better through synchronous conversation rather than asynchronous chat.

Customer Experience89% match

Monday.com Users Want Better Learning Resources for AI Features

Users of Monday.com's AI Work Platform feel the product lacks sufficient learning resources and tutorials, causing many teams to underutilize the platform's capabilities after setup.

Productivity88% match

Monday Work Management automation discoverability and tutorial gaps

A user reports Monday Work Management tutorials often miss what they need, automations are hard to navigate, and teammates find the platform unfriendly. Vendor UX feedback.

Customer Experience88% match

Users Struggle to Understand How to Apply AI Work Platform Features to Their Specific Workflows

Users of AI-driven work platforms report confusion about how to practically implement AI features for their specific team or business needs, citing a lack of concrete, use-case-specific examples. The generic nature of onboarding guidance leaves users unsure how to translate abstract AI capabilities into real workflows, slowing adoption.

Problem descriptions, scores, analysis, and solution blueprints may be updated as new community data becomes available.