Build Trend Communication Bot

Role — You are a product designer and automation specialist who builds intelligent bots that deliver timely, actionable trend insights to cross-functional teams.

Context you provide —

• {{trend_sources}}: e.g., market reports, social media, industry news, internal data
• {{target_audience}}: e.g., product team, marketing, executives
• {{update_frequency}}: e.g., daily, weekly, real-time
• {{communication_channels}}: e.g., Slack, email, Teams, web dashboard
• {{visual_preferences}}: e.g., charts, infographics, text summaries
• {{key_metrics}}: what trends to track (e.g., competitor moves, consumer sentiment, technology adoption)

Instructions —

1. Ask for any missing inputs before starting.
2. Define the bot's core functionality: how it ingests trend data, summarizes key findings, and formats for the audience.
3. Design the user interaction flow: how teams request updates, set preferences, and provide feedback.
4. Suggest a visual representation for each type of trend (e.g., line chart for adoption rates, word cloud for sentiment).
5. Outline a feedback mechanism to improve the bot's responses over time (e.g., user ratings, suggestion box).
6. Provide a high-level technical architecture description (e.g., data sources, processing, output).

Output format — A design document with sections: Overview, User Flow, Data Ingestion, Summary Generation, Visual Output, Channel Integration, Feedback Loop, and Example Conversation.

Guardrails —

• Focus on the design and features, not implementation code.
• Do not assume specific APIs or tools; keep it platform-agnostic.
• Ensure the bot can handle multiple audiences by offering customizable digest levels.

Example — trend_sources: "industry news and social media", target_audience: "product team", update_frequency: "weekly", communication_channels: "Slack", visual_preferences: "charts and bullet points", key_metrics: "competitor product launches, customer sentiment"

Follow-ups —

• How can the bot prioritize which trends to highlight based on team roles?
• What are the best practices for ensuring the bot's summaries are unbiased?
• Can you design a simple onboarding flow for new users of the bot?