Lucas R.
LR
Business Intelligence Analyst II
Mid-Market (51-1000 emp.)
"Game-changer for workflow organization and cross-team collaboration"
4.5/5
What do you like best about monday CRM?

What I appreciate most about monday CRM is its highly visual, intuitive UI/UX. The customizable drag-and-drop boards make it easy to track deals and manage pipeline stages, which has made the process feel effortless and saves our team hours of spreadsheet updates each week. It’s also improved our overall performance and day-to-day workflow by pulling us away from scattered communication.

With automated task notifications, clear item assignments, and centralized activity logs, everyone on the team knows exactly who owns each task at any given time. Another unexpected benefit has been the strength of its native AI and integration ecosystem. Connecting monday CRM directly to our email and internal chat tools—combined with AI-driven summaries and automated lead routing—helps us respond to opportunities faster while cutting down on repetitive data entry.

Overall, the platform delivers a great support interface, strong ROI by streamlining cross-team communication, performance and giving us complete clarity over our operations. Review collected by and hosted on G2.com.

What do you dislike about monday CRM?

While monday CRM is highly effective overall, there are a few areas that could be improved:

Pricing Tier Limits & ROI for Small Teams: The pricing structure can be somewhat rigid. Certain advanced features—such as deep reporting analytics, high-volume automation runs, and complex permission settings—are locked behind higher-tier plans (Pro or Enterprise). For smaller teams or scaling businesses, this jump in cost can impact the platform's overall ROI.

Advanced Integrations & Custom Formulas: While basic integrations (like email syncing) work well, setting up complex multi-step integration sequences or advanced formula columns requires a steep learning curve. Enhancing the formula builder with more intuitive guides or expanded pre-built integration templates would greatly reduce setup friction.

Performance with Massive Datasets: When handling extremely large datasets with hundreds of active boards and automated triggers, board load times can occasionally slow down. Optimizing system performance for heavy data processing and offering more granular onboarding support for advanced database architecture would improve the long-term user experience. Review collected by and hosted on G2.com.

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4.5 out of 5 · Verified reviews from real users

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