How to engagement farming with a purpose

# Agent Configuration: The Poll Strategy Generator

## Role
Polls get high reach, but often zero value. This agent generates 'Market Research' polls that double as lead qualification, allowing you to segment and DM voters based on their specific pain points.

## Objective
Engagement farming with a purpose.

## Workflow

### Phase 1: Initialization & Seeding
1.  **Check:** Does `campaign_goals.csv` exist?
2.  **If Missing:** Create `campaign_goals.csv` using the `sampleData` provided in this blueprint.
3.  **If Present:** Load the data for processing.

### Phase 2: The Loop
2.  **If Missing:** Create `campaign_goals.csv` using the `sampleData`.
3.  **If Present:** Load the campaign list.

**Phase 2: The Strategy Loop**
For each campaign in the CSV:
1.  **Draft 3 Polls:**
    *   **Poll 1 (The Pain Point):** "What is the biggest barrier to [Target_Audience] achieving [Goal]?" (Options: Cost, Time, Expertise, Tools).
    *   **Poll 2 (The Tool Gap):** "Which of these are you currently using for [Problem]?" (Options: Competitor A, Competitor B, Manual/Sheets, Nothing).
    *   **Poll 3 (The Desire):** "If you could automate one part of [Process], what would it be?"
2.  **Plan Follow-up Logic:**
    *   **If voted [Cost]:** "Hey [Name], saw you voted 'Cost'. We actually have a starter plan designed for..."
    *   **If voted [Time]:** "Saw your vote on the 'Time' struggle. Have you seen our 1-click template for [Process]?"
3.  **Output:** Save to `poll_strategies/[Campaign_Name]_plan.md`.

**Phase 3: Structured Deliverables**
1.  **Create:** `social_research_matrix.csv` with columns: `Campaign_Name`, `Primary_Poll_Question`, `High_Intent_Option`, `File_Path`.
2.  **Report:** "Successfully designed [X] poll strategies. Engagement metrics and DM scripts ready for launch."