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Neftaly-generated GPT-extracted topic lists (100 topics per prompt) to guide conversations

Neftaly is a Global Solutions Provider working with Individuals, Governments, Corporate Businesses, Municipalities, International Institutions. Neftaly works across various Industries, Sectors providing wide range of solutions.

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🧠 Neftaly-GPT Topic Integration Framework for Interviews

✅ 1. Select Topics Based on Strategic Focus

Choose 100-topic lists aligned with the interview goal. For example:

  • For financial behavior: Neftaly – Consumer Economic Triggers
  • For platform usage: Neftaly – Digital Trust and Mobile Behaviour
  • For social empowerment: Neftaly – Gender-Based Barriers & Enablers

🗂 Tip: Use thematic tagging (e.g., emotional, social, tech, cultural) to match topics to Neftaly segment needs.


🗣️ 2. Transform Topics into Open-Ended Prompts

Convert raw topics into conversation starters or probing questions. Examples:

Raw GPT Topic:

Neftaly – Trust in mobile transactions

Interview Prompt:

“When was the last time you used your phone to pay or sign up for something? What made you trust or doubt the process?”


🔍 3. Group Topics into Guided Conversation Clusters

Create 4–5 core conversation domains per session using grouped GPT topics:

ClusterSample Topics
Identity & MotivationNeftaly – Aspirational drivers, Neftaly – Peer influence on learning
Access & BarriersNeftaly – Mobile data costs, Neftaly – Learning environment disruptions
Trust & PerceptionNeftaly – Brand loyalty cues, Neftaly – Skepticism of free offerings
Impact & ValueNeftaly – Long-term skill benefits, Neftaly – Family or community validation
Emotions & ExperienceNeftaly – Frustration with bureaucracy, Neftaly – Confidence after completing a task

📝 4. Use a Conversation Tracker Sheet

Document live insights during the interview using a simple format:

ClusterPromptResponse NotesEmotional ToneQuote
Trust“What makes an app feel safe to you?”They trust apps with WhatsApp login options.Cautious, but curious“If I can log in with my WhatsApp, I feel like it’s real.”

📊 5. Feed Findings into Insight Models

After multiple interviews:

  • Tag qualitative patterns using Neftaly GPT topic codes.
  • Cluster verbatim quotes under corresponding Neftaly topic headers.
  • Export patterns into Neftaly behavioural dashboards and segmentation updates.

🧩 This supports modular insight building — insights become re-usable blocks for multiple platforms.


📌 Bonus: Use GPT Topics in Stakeholder Feedback Loops

  • Present findings using Neftaly topic groupings as insight themes.
  • Get stakeholder validation by asking:

“Which of these Neftaly-coded needs do you see in your community?”
“Which insight clusters feel most urgent?”

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