Practice Center
Use four real-world scenario files to practice Chat, Prompt, Cowork, and Code
Practice workflow
Every practice task follows the same five steps. AI output must be checked by you before you submit.
- 1DownloadGet the practice file
- 2UploadGive the file to Claude
- 3PromptWrite the instruction with T-C-R-F
- 4VerifyCheck the output against the source
- 5SubmitFinalize your result and Use Case
Practice Files
Meeting A: Project Status Meeting
Meeting_A_Project_Status.txt
A single meeting note — good for Chat, document analysis, Prompt, and Fact / Analysis / Unknown practice.
Meeting B: Cross-Department Follow-up
Meeting_B_Cross_Department_Followup.txt
A cross-department meeting note — good for multi-document analysis and Cowork delegation.
Sales Report: Sales Data
Sales_Report.csv
CSV sales data — good for Code / automated analysis and correlation-vs-causation judgment.
Customer Feedback: Raw Excerpts
Customer_Feedback_2026Q3.txt
Raw customer feedback excerpts — good for classification, evidence citation, sentiment/theme analysis, and Cowork.
Practice Tasks
1
Chat Practice
Use Meeting A to practice organizing a meeting note step by step with Chat.
Uses files: Meeting A: Project Status Meeting
- Understand the main content and purpose of this meeting note
- Identify 5 key issues
- Structure owners and deadlines
- Find information gaps the document does not clearly address
- Find passages that are inference rather than stated fact
- Produce a summary for a manager
2
Prompt Practice
Rewrite the vague instruction "Help me analyze the customer issue" using T-C-R-F.
Uses files: Customer Feedback: Raw Excerpts
- Write the Task: what exactly you want AI to do
- Write the Context: why this matters, who it is for
- Write the Reference: the material you will provide (e.g. the Customer Feedback file)
- Write the Format: the output structure you expect
- Try your T-C-R-F prompt and compare it to the vague version
3
Cowork Practice
Use all four files to practice delegating a fairly complete task to AI.
Uses files: Meeting A: Project Status Meeting、Meeting B: Cross-Department Follow-up、Sales Report: Sales Data、Customer Feedback: Raw Excerpts
- State the task scope and expected delivery format before delegating
- Identify 3 main issues
- Attach evidence to each issue (quote the source passage)
- List open items that still need follow-up
- Produce recommendations
- Produce a one-page executive summary
- Split the overall output into Fact / Analysis / Unknown
4
Code Practice
Use Sales_Report.csv to practice structured data analysis, keeping correlation and causation strictly separate.
Uses files: Sales Report: Sales Data
- Find missing values in the data
- Find duplicate rows
- Compute the completion rate (Actual / Target) by month and region
- Find months and regions that missed target
- Find the longest customer response time
- Find the lowest satisfaction score
- Find possible relationships between completion rate, response time, and satisfaction
- When describing relationships, do not claim causation — describe only what is observed