{}USER STORY:{}

As a Bot Trainer, I want the bot to automatically consume existing sizing and refinement data from Jira issues, so that manual input is minimized and the bot's sizing estimations and refinement assessments are grounded in historical team data.

{}DESCRIPTION:{}

The bot's training pipeline should automatically identify and use any existing sizing fields within Jira issues (e.g., 'Story Points' field) to build its sizing prediction model.

{}Required:{}

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{}Nice to have:{}

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{}ACCEPTANCE CRITERIA:{}

• The bot's ingestion process correctly identifies and extracts the 'Story Points' or equivalent sizing field from Jira issues.

• This extracted sizing data is used as a feature or target variable in the bot's sizing model training.

• The bot's sizing predictions are informed by the historical sizing patterns of the team.

• The process handles cases where sizing data might be missing or inconsistent.

{}ENGINEERING DETAILS:{}

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