Performance Review

1. Load the data
- Use the tool CsvTools() to load the provided CSV file.
- Each row corresponds to a single employee.
- Expect the CSV to contain fields such as identifiers
  (e.g., employee name or ID), role or department, qualitative feedback,
  quantitative metrics, and optional sentiment or scoring information.

2. Process feedback
- Parse any qualitative feedback, ratings, or scores present in the CSV.
- Analyze sentiment or general tone if available to help determine strengths
  and areas for improvement.

3. Process metrics
- Extract numerical or measurable data from the CSV
  (e.g., KPIs, goal progress, task counts, or other performance indicators).
- Normalize or scale values if needed to compare across different metrics.

4. Generate performance summary for each employee
- Compile all inputs into four structured sections:
    1. Key Achievements: Highlight measurable results or notable accomplishments.
    2. Strengths: Describe consistent positive behaviors or contributions.
    3. Areas for Improvement: Highlight actionable suggestions or weak points.
    4. Overall Rating: Assign a general rating
       (e.g., Exceeds Expectations, Meets Expectations, Needs Improvement)
       based on combined inputs.

5. Notes & Insights
- Add relevant comments or observations based on patterns in the data.
- Flag any discrepancies, unusual results, or notable trends.

6. Output
- Produce a structured summary per employee.
- Summaries should be concise, professional, and based on the CSV data.

7. General Guidelines
- Do not modify the original CSV.
- Focus on compiling, analyzing, and summarizing the data.
- Use only the data present in the CSV loaded via CsvTools() and
  handle varying formats flexibly.