If you are a manager using WebWork, your days most likely start the same way—you open WebWork, check attendance, scan productivity metrics, and maybe look at a project breakdown. If you are managing a large team, each of these can take around ten minutes and you could still miss a few details.
This was one of the reasons why we introduced WebWork AI which is now much more powerful at analyzing performance and taking action on its own. With this article, we are giving you a practical WebWork AI prompts organized by use case so you can make the most of WebWork AI—what to ask, when to ask it, and how to get sharper answers.
What WebWork AI Actually Does H2
Before getting into the WebWork AI prompts, here is a quick breakdown of what the AI assistant can accomplish:
- Pulling data and reports: Tracked hours, productivity metrics, activity levels, attendance records, leave balances, project and team breakdowns, member details, contracts, rates, and task statuses.
- Taking actions: Create tasks, create projects, invite new members, add or update holidays, and update member information.
- Chatting with you: Communicate with you about how features work, how to configure settings, what concepts like activity level or contracts mean, and where to find specific options.
Morning Check-In Prompts
These are the prompts that replace your daily dashboard routine. Instead of opening four pages, you ask WebWork AI one or two questions and get the same picture.
The Big-Picture Prompts
Two prompts cover roughly everything a manager checks first thing:
- “Give me a Monday morning overview”
WebWork AI pulls attendance, tracked hours, and key productivity indicators together in one response. It surfaces what you’d normally scan across the attendance page, the hours report, and the productivity dashboard.
- “What should I worry about?”
We suggest leaving this prompt open-ended on purpose. That way WebWork AI can identify all the patterns that are worth attention. These can be low activity on a team, attendance issues, and hours significantly below target which you can address directly.
Both of these work because WebWork AI doesn’t just query one data source. It cross-references attendance, hours, and productivity data to give you a combined picture.
Attendance and Punctuality
For more targeted attendance checks, use the following:
- “Who is working right now?”
- “Who was absent yesterday?”
- “Show me today’s late users”
- “Who was late this month and how often?”
All of these support natural date ranges. You can use “this week,” “last 30 days,” “March 1 to March 15,” or just “yesterday” and the AI will interpret it correctly.
Productivity and Performance Prompts
This is where WebWork AI saves you the most time. It pulls together performance data that would otherwise require filtering reports by team, date range, and metric type.
Team-Wide Performance
- “How productive was my team this week?”
- “Top 3 best performing teams”
- “Compare all teams’ productivity for last week”
- “Compare this week vs last week”
The comparison prompts are particularly useful for weekly reviews. Instead of exporting two date ranges and putting them side by side in a spreadsheet, you get the comparison in a single response.
Spotting Problems Early
- “What is my team’s number 1 problem right now?”
- “Find the least productive people this month”
- “Find the least productive people this month, excluding managers”
Notice how you can add qualifiers like in the third prompt to narrow the results. If you want to exclude a specific role, focus on a particular team, or filter by project, just add that to the prompt naturally.
If you’re evaluating WebWork for your team, these productivity prompts are a good way to see the AI in action. You can try WebWork free for 14 days — no credit card required — and test these against your own data.
Member Deep-Dive Prompts
When you need to prepare for a 1-on-1 or review someone’s performance before a check-in, these prompts pull together what you’d otherwise assemble manually from several reports.
Individual Performance
- “How many hours did Sarah track this week?”
- “What projects did John work on last month?”
- “Give me a full analysis of Liana’s March performance”
The “full analysis” prompt is worth highlighting as it returns hours, activity levels, productivity breakdowns, and project allocation in one response. It gives you the kind of summary you’d typically build by opening three or four different report views.
Side-by-Side Comparisons
- “Tell me how Sharon and Rae have done this week — hours worked, activity level, time wasted”
- “How did Sarah and Mike do this week — hours, activity, everything you can tell me”
These comparison prompts generate a structured side-by-side view of two members in a matter of seconds. It’s especially useful for workload balancing, performance reviews, or just understanding how different team members are spending their time relative to each other. Otherwise, you would find yourself going through separate reports one by one to compare each metric of each employee manually.
Tip: For the best result with WebWork AI prompts, use full names as they appear in WebWork. Nicknames or abbreviations might not match, and the AI needs an exact member name to pull the right data.
Project and Time Allocation Prompts
- “How many hours did we track per project last month?”
- “Which team has the most tracked time?”
These prompts are straightforward, but the real value comes from follow-ups. WebWork AI remembers context within a conversation, so you can drill down without repeating yourself:
Here’s what I mean by that:
You: “How many hours did we track per project last month?”
AI: (returns project breakdown)
You: “Which one had the most overtime?”
AI: (answers based on the same dataset)
You: “Break that down by team”
In fact, this follow-up pattern works across all prompt types as the AI holds onto the context from your earlier questions.
Action Prompts — Get Things Done Without Leaving Chat
Most people discover WebWork AI through questions, but its agentic essence is what genuinely saves you steps. With action prompts, whenever you spot a problem in the data, you handle it directly in the chat, instead of switching to the task manager or settings page.
Task Management
- “Create a task for Design Team: finish landing page by Friday”
- “Create a task for project X”
You can specify the team, the project, the deadline, and the task description all in one sentence. WebWork AI will create the task and confirm the details.
Team and Workspace Management
- “Invite john@email.com to join our team”
- “Add a holiday for March 31”
The AI also handles updating member information and managing holiday settings. For teams that manage people across multiple time zones and countries, the holiday management alone is a useful shortcut as you can add location-specific holidays without navigating through the settings menu.
How-To and Setup Prompts
WebWork has a lot of configuration options, and finding the right setting isn’t always obvious. Instead of searching the help center, you can ask the AI directly:
- “How do I set up weekly limits?”
- “What’s the difference between team and project?”
- “How do I set up a kiosk?”
- “How is activity level calculated?”
- “What is a contract and how to assign it?”
- “How do I invite someone to my workspace?”
The AI walks you through the steps within the chat. This is especially helpful for new managers onboarding onto WebWork, or for admins configuring workspace settings they don’t change often enough to remember where everything lives.
5 Tips for Getting Better Answers
After working with these prompts, a few patterns make a noticeable difference in result quality.
Use full names as they appear in WebWork. The AI matches against member names in your workspace. If someone’s listed as “Michael Chen” and you ask about “Mike,” it may not connect the two.
Include date ranges when you want specific periods. “This week,” “in March,” “last 30 days,” and explicit ranges like “March 1 to March 15” all work. Without a date range, the AI defaults to a reasonable recent period, but being explicit gets you exactly what you need.
Start broad, then follow up. A conversation like “How is my team doing?” → “What about last week?” → “Who needs attention?” → “Break that down by project” is four questions that would take ten minutes of manual report navigation. But with AI it’s much faster as it keeps context, so each follow-up builds on the last.
Ask in any language. The AI responds in whatever language you write in. If your team spans multiple countries, each manager can ask questions in their own language.
Be as specific or as vague as you need. Both “how are we doing?” and “show me John’s tracked hours March 1–15 by project” work. WebWork AI will adjust the depth of its response to the specificity of your question.
Now you know how to use WebWork AI to your full advantage so it’s time to put that in use.
