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clawsmith.com/signal/clickup-actual-time-workload-view
โš  IssueWide Opensaas_webappLive

A companion web app that overlays actual time-tracked data onto the ClickUp Workload view so teams can see real capacity burn instead of estimate-only projections

ClickUp's Workload view shows team capacity using only time estimates, not actual time tracked. When a team member logs more hours than estimated, the Workload view stays green while the person is over capacity. The feature request 'time tracked in workload' on ClickUp's Canny board has 421 votes and has been open since July 2021 with no official status label and no shipped fix. ClickUp team engagement on the thread as recently as February 2026 shows awareness but no commitment. Multiple related requests (workload time interval options, subtask time estimates rolling up) confirm a cluster of unmet workload-accuracy needs. Existing time-tracking integrations (Clockify, TimeCamp, Timely) track time per task but write results back to ClickUp's own time fields, not to the Workload view capacity calculation. No third party ships a stand-alone workload mirror that reads ClickUp's time-tracking API and renders an accurate burn-vs-capacity heatmap for managers. The product: a dashboard that pulls ClickUp time entries via API and renders a Workload-equivalent view showing actual vs estimated hours per person per day, with overload alerts and exportable team utilization reports.

Product Idea from this Signal

A web app that pulls ClickUp logged time entries and renders a real capacity and overload view per person

586 โ–ฒ

ClickUp's built-in Workload view is wired to task estimates, not actual tracked hours. Managers see how much work is assigned, not how much time is actually being spent. When a task is estimated at 2h but takes 8h, the workload chart stays green while the person is drowning. Every third-party time tracker that integrates with ClickUp (Everhour, Toggl, TMetric) syncs time the other way: they pull tasks from ClickUp but do not push actual-time data back into a workload surface. This app reads ClickUp's time-tracking API directly, aggregates logged hours per assignee per day/week, compares against each user's set capacity, and renders a true utilization view: who is over, who has slack, and which projects or task types are consuming disproportionate real time. The signal is a long-standing 440-vote ClickUp Canny request with no native resolution as of mid-2026.

project-managementtime-trackingresource-managementClickUpcapacity-planningsaas
Competitive1 leadsView Opportunity โ†’

Score Breakdown

BLOG
586

Gap Assessment

Wide OpenNo dedicated solution exists

421 community votes open since 2021. ClickUp team engaged as recently as Feb 2026 with no ship date. Existing integrations track time but do not surface actual-vs-estimate workload comparison inside a Workload-view equivalent. No credible standalone product fills this specific view.