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L8_tasks.yaml
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suggestion_generation:
description: >
Generate actionable suggestions for resolving each classified support ticket.
The suggestions should be based on:
- Issue Type: Tailor suggestions to the specific type of issue reported.
- Historical Data: Use historical data such as resolution_time_minutes and
satisfaction_rating to inform the suggestions.
- Customer Feedback: Incorporate insights from customer_comments to
customize the suggestions further.
The goal is to provide clear, actionable steps that the support team can
take to resolve each issue efficiently and effectively.
expected_output: >
A list of actionable suggestions linked to each classified support ticket,
optimized for quick and effective resolution by the support team.
table_generation:
description: >
Generate tables that summarize the key metrics and trends observed in the
support data, including:
- Issue Classification Results: A table summarizing the frequency and
priority levels of different issue types.
- Agent Performance: A table showing the performance of different agents
based on resolution times and customer satisfaction scores.
- Customer Satisfaction: A table summarizing customer satisfaction ratings
over time.
These tables will serve as the foundation for generating charts in the next
task.
expected_output: >
A set of tables summarizing the key metrics and trends observed in the
support data, ready to be used for chart generation.
chart_generation:
description: >
Generate charts based on the tables provided by the previous task. The
charts should include:
- Issue Distribution: A chart showing the distribution of different issue
types.
- Priority Levels: A chart depicting the breakdown of tickets by priority
level.
- Resolution Times: A trend line showing average resolution times over the
past months.
- Customer Satisfaction: A bar chart or trend line showing customer
satisfaction ratings over time.
- Agent Performance: A chart showing the performance of different agents
based on resolution times and customer satisfaction scores.
Save the charts as image files in the current directory.
Ensure that the charts are saved as image files, and generate URLs for these
images so they can be easily embedded into the final report.
expected_output: >
A set of charts that visually represent the key metrics and trends observed
in the support data, ready to be integrated into the final report.
final_report_assembly:
description: >
Assemble the final report by integrating the tables and charts generated in
the previous tasks. The report should include:
- Issue Classification Results: Overview of the types of issues reported,
their frequency, and priority levels, presented in tables and charts.
- Agent Performance: Insights into the performance of support agents, based
on metrics like resolution time and customer satisfaction, presented in
tables and charts.
- Customer Satisfaction: A summary of the customer satisfaction ratings and
their trends over time, presented in tables and charts.
- Suggested Actions: A summary of the actionable suggestions generated for
each category of issue.
The report should have tables and relevant charts side by side with an
appropriate size.
The report should be formatted for easy consumption by stakeholders,
providing valuable insights into the performance of the support system and
areas for improvement.
expected_output: >
A comprehensive final report that integrates tables, charts, and actionable
insights into a single document, formatted for stakeholders.
Don't add '```' or '```markdown' to the report.