feature requestProductivity · Project ManagementstructuralTask ManagementWorkflows

No built-in guidance for prioritizing a large ticket backlog

Users managing many tickets in Monday.coms AI Work Platform lack a clear way to determine prioritization order. Reflects a common gap in task/ticket tools that surface volume but not urgency-based sequencing.

1mentions
1sources
4.5

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Similar Problems

surfaced semantically
Customer Experience89% 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.

Productivity88% match

Monday.com Information Overload Makes Filtering Tasks Difficult

Monday.com's work management interface is perceived as too noisy, making it hard for users to filter and surface what matters. The lack of effective filtering creates cognitive overhead that undermines the tool's core purpose. This is a persistent UX friction point for teams managing large workloads.

Productivity88% match

Monday.com Learning Curve Limits Adoption

Users report insufficient time to fully learn Monday.com, hindering effective adoption. This reflects a common onboarding friction where complexity outpaces available training time. The lack of structured self-paced learning paths compounds the issue.

Customer Experience88% match

Monday.com Is Difficult For Beginners To Fully Understand

A Monday.com user states it is not easy for beginners to understand how to fully use the platform. The feedback is brief and does not specify which features or workflows cause the difficulty.

Productivity87% match

Monday.com's organization structure feels confusing despite strong features

A user finds Monday.com's AI work platform organization confusing to navigate, even while acknowledging it as one of the product's best features. This suggests a usability gap between feature depth and discoverability.

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