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Merge pull request #637 from microsoft/psl-samques-t
docs: Added new Sample Questions page and reference file
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.github/workflows/broken-links-checker.yml

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uses: lycheeverse/[email protected]
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with:
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args: >
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--verbose --exclude-mail --no-progress --exclude ^https?://
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--verbose --no-progress --exclude ^https?://
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${{ steps.changed-markdown-files.outputs.all_changed_files }}
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failIfEmpty: false
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env:
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uses: lycheeverse/[email protected]
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with:
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args: >
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--verbose --exclude-mail --no-progress --exclude ^https?://
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--verbose --no-progress --exclude ^https?://
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'**/*.md'
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failIfEmpty: false
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env:

documents/DeploymentGuide.md

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## Sample Questions
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To help you get started, here are some **Sample Questions** you can ask in the app:
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- Total number of calls by date for the last 7 days
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- Show average handling time by topics in minutes
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- What are the top 7 challenges users reported?
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- Give a summary of billing issues
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- When customers call in about unexpected charges, what types of charges are they seeing?
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These questions serve as a great starting point to explore insights from the data.
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To help you get started, here are some [Sample Questions](./SampleQuestions.md) you can follow to try it out.
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## Next Steps:
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Now that you've completed your deployment, you can start using the solution. Try out these things to start getting familiar with the capabilities:
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documents/SampleQuestions.md

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# Sample Questions
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To help you get started, here are some **Sample Prompts** you can ask in the app:
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> Note: To avoid rate limit errors, pause for 2–3 seconds after a response before submitting the next question. <br>
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Average response time is 8–14 seconds.
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1. Ask the following questions:
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- Total number of calls by date for last 7 days.
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- To view the response data as a graph, just prompt "Generate Chart".
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- Show average handling time by topics in minutes.
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- What are top 7 challenges user reported.
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- Give a summary of billing issues.
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- When customers call in about unexpected charges, what types of charges are they seeing?
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![GenerateDraft](Images/Samplequestions1.png)
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This structured approach helps users quickly extract actionable insights from client conversations to help users understand priorities, trends, and opportunities for better engagement.

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