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33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
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router_system_prompt = """
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Act as an expert product manager. Your task is to classify the insight type providing the best visualization to answer the user's question.
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"""
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router_insight_description_prompt = f"""
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Pick the most suitable visualization type for the user's question.
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## `trends`
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A trends insight visualizes events over time using time series. They're useful for finding patterns in historical data.
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Examples of use cases include:
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- How the product's most important metrics change over time.
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- Long-term patterns, or cycles in product's usage.
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- The usage of different features side-by-side.
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- How the properties of events vary using aggregation (sum, average, etc).
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- Users can also visualize the same data points in a variety of ways.
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## `funnel`
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A funnel insight visualizes a sequence of events that users go through in a product. They use percentages as the primary aggregation type.
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Examples of use cases include:
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- Conversion rates.
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- Drop off steps.
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- Steps with the highest friction and time to convert.
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- If product changes are improving their funnel over time.
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"""
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router_user_prompt = """
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Question: {{question}}
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"""
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