Connect Everhour to ChatGPT

Using the Windsor.ai Everhour connector, ChatGPT can analyze all 14 metrics and 70 dimensions from your account, including:

• Time entries: hours logged, cost per entry, cost rate, date, associated task, assigned user, and lock status.
• Time records: logged duration, date, assigned user, and linked task (an additional layer of time tracking data for granular analysis).
• Projects: project name, status, creation date, estimate type, platform, workspace name, privacy settings, and assigned users.
• Tasks: task name, status, completion state, completion date, due date, assignees, labels, iteration, type, and logged time (everything you need to track progress and spot overdue work).
• Users: name, email, role, status, type, capacity, billable rate, internal cost, cost history, groups, and resource planner settings.
• Clients: client name, status, creation date, payment due days, business details, associated projects, and invoicing preferences.

Yes. ChatGPT can aggregate total cost and hours logged per project, compare them against the billable rate for each assigned team member, and calculate whether a project’s internal cost is exceeding what you can reasonably bill. It can rank your projects from most to least profitable and flag those that need immediate attention.

Yes. By analyzing historical task completion data (specifically when tasks were created and when they were completed), ChatGPT estimates how long similar tasks take your team on average. This helps you set more realistic timelines for future projects based on actual performance rather than guesswork.

Use advanced prompts in ChatGPT to uncover deeper insights from your Everhour data. For example:

• Build a profitability analysis for each active project. Compare total hours logged and internal cost against each team member's billable rate. Tell me which projects are at risk of costing more than we can bill, and rank them by how close they are to becoming unprofitable.

• Analyze how long tasks typically take to complete across all projects over the last 3 months. Break it down by project and by team member. Show me who consistently finishes tasks faster than average and where the bottlenecks are.

• Audit my team's time tracking habits over the last month. Are people logging time consistently throughout the week, or are some team members entering everything on a single day? Flag anyone whose daily logging pattern suggests they're backfilling from memory rather than tracking in real time.

• Create a client dependency report for the last quarter. Show me total hours and cost per client, and flag any client that represents more than 30% of our total team capacity. I want to see where we're too dependent on a single client.

Yes. ChatGPT analyzes total hours logged and cost by client name to show which clients consume the most team time. It can calculate each client’s share of your total capacity, flag any client that represents a disproportionately large share, and help you make informed decisions about pricing or resource allocation.

Yes, we have helpful resources to help you get started. You can explore our official documentation and tutorials for seamless Everhour to ChatGPT integration with Windsor.ai:

• • Everhour Field Reference
  • ChatGPT Integration Documentation

Windsor.ai’s pricing for ChatGPT data integration varies depending on the number of connected accounts and data sources. We offer absolutely transparent pricing plans for diversified business needs and budgets, along with a 30-day free trial.