Step 1: Plan Your Sessions
- Dates: Decide on the 4 weekly dates (e.g., every Tuesday at 3 PM).
- Topics: Define a clear theme for each focus group aligned with monthly consumer behavior themes.
- Participants: Identify and invite a diverse group of participants (target consumers, internal staff, or stakeholders).
Step 2: Use SayPro Website Interface
- Log In: Access your SayPro research facilitator account on the website.
- Navigate to Focus Group Management: Find the dashboard or module dedicated to event scheduling and participant management.
- Create Events:
- Click “Create New Focus Group” or similar.
- Enter session title, date, time, and description.
- Specify participant limits and any pre-session requirements.
- Send Invitations:
- Use the platform’s invitation tool to email selected participants.
- Include session details and instructions on how to join.
Step 3: Prepare for Each Session
- Develop a Discussion Guide: Prepare questions/prompts tailored to each session’s theme.
- Set Up Tools: Ensure GPT-powered tools, recording options, and note-taking features are ready on the SayPro platform.
- Test Technology: Confirm your audio, video, and screen sharing capabilities work.
Step 4: Facilitate the Sessions
- Start on Time: Log in early and welcome participants as they join.
- Introduce Objectives: Briefly explain the session’s goals and ground rules (e.g., confidentiality, participation).
- Guide Discussion: Use your discussion guide and GPT-generated prompts to keep conversations focused and actionable.
- Engage Participants: Encourage input from everyone and manage dominant speakers diplomatically.
- Record Data: Use SayPro’s tools to record transcripts, key points, and participant sentiment.
Step 5: Post-Session Follow-Up
- Thank Participants: Send a thank-you note with a summary or key highlights.
- Document Findings: Complete detailed reports using SayPro templates.
- Collaborate with Analytics: Share insights with SayPro’s analytics team for further refinement.
- Plan Next Session: Adjust topics or methods based on feedback and observations.
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