đ Help Doc: The Pain Expansion Sequence â Deepening Motivation Inside the AI Sales Database
The Pain Expansion Sequence is a critical part of the first sales conversation. It happens after youâve established trust and completed a Level 3 conversation, but before you transition to the desired destination. The goal is to amplify the emotional weight of the problem by exploring how long itâs existed, where it came from, and how it's affecting the prospectâs life. This doc will show you how to implement and use the Pain Expansion framework inside the AI Sales Database to guide powerful, transformational conversations.
đ Why This Matters
When a lead articulates the true cost of their problemâemotionally, relationally, physicallyâthey become significantly more open to change. This phase is what makes the solution feel necessary rather than optional.
đ§ The 4 Elements of Pain Expansion
Each element should be captured in the AI database and used to generate intelligent follow-up prompts and call flow suggestions.
đš 1. Impact â âHow is this showing up in your life?â
Help the lead reflect on specific life moments that are negatively impacted by their problem.
âĄď¸ AI Database Action:
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Add sample prompt variations under
Pain Expansion > Impact -
Link real-life examples (e.g., âCanât keep up with my kids,â âAvoiding social situationsâ)
đš 2. Duration â âHow long has this been a problem?â
Help them recognize this isnât a new issueâitâs something thatâs been limiting them for years.
âĄď¸ AI Database Action:
-
Store responses in a
Duration Trackerfield (e.g., 3 months, 5 years) -
Use this data to personalize urgency messaging later in the conversation
đš 3. Cause â âWhere do you think this started?â
Dig into the origin of the issue. This brings emotional context and self-awareness.
âĄď¸ AI Database Action:
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Add cause-related prompt examples (e.g., role models, injury, life trauma)
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Use tagging like:
root_cause: lifestyle,root_cause: childhood, etc. -
Cross-reference with persona patterns
đš 4. Trigger â âWhy now?â
Find the recent moment or emotional tipping point that led them to take action today.
âĄď¸ AI Database Action:
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Prompt bank: âWhat happened that made you reach out today?â
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Tag as
trigger_eventand track for marketing follow-up personalization
đ§° Using AI to Guide the Conversation
As the conversation unfolds, the AI database can:
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Suggest alternate phrasing for deeper follow-up
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Recognize gaps (e.g., if the duration wasnât discussed) and recommend re-engagement prompts
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Use tone/emotion detection to help the coach slow down or push forward
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Auto-summarize each of the 4 areas for your CRM or call notes
â Best Practices
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Donât rush through this. Linger in the discomfortâthatâs where urgency is built.
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Ask follow-up questions to go deeper. For example:
âWhat happens if this stays the same 6 months from now?â
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Avoid moving to solutions too early. The prospect must feel the weight before theyâre ready to fix it.
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Use different tones based on resistance: gentle, curious, or assertive.
đ§ Sample Prompts (Stored in Database)
Impact:
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âHow is this showing up day-to-day?â
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âWhat parts of your life are being affected by this?â
Duration:
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âHas this been building for a while or more recent?â
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âHow long have you been trying to change this?â
Cause:
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âWhere do you think this all started?â
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âDid something shift that caused this change in your health/behavior?â
Trigger:
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âWhy now?â
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âWhat made you walk in today and not last month?â
đ Whatâs Next?
Once youâve completed the Pain Expansion Sequence, youâll be ready to move into the Desired Destination portion of the callâwhere the solution finally enters the conversation.
Explore prompt templates and workflows inside:
đ Pain Expansion Prompt Library
Want to automate follow-up call notes?
đ Use the AI Call Summary Tool