When to use this prompt
Preparing structured discovery scripts for semiconductor prospects
Equipping SDRs/BDRs with repeatable call flows
Refining messaging around specific manufacturing pain points
Ensuring consistent positioning of your solution in early conversations
The prompt
Draft a brief discovery call script for a sales rep speaking with a lead from a [INDUSTRY_TYPE] company. The script should include a clear introduction, a focused set of qualifying questions exploring the lead’s current [PAIN_POINT_CATEGORY] challenges, and several key value points about our [SOLUTION_TYPE] that align with their operational needs. Keep the tone professional, concise, and easy for a rep to deliver naturally.
Variables to replace:
Real-life example of how to use this prompt
Assume I’m a senior marketer at HubSpot prepping a script for my sales team. The prompt in the context of Hubspot would look like:
As you can see, I’ve repositioned the core message around structuring a clear discovery flow—intros, relevant qualifying questions, and aligned value points—while clarifying the semiconductor context and the purpose of the script.
Example output from ChatGPT for this prompt
And here's the output:
[Introduction]
Hi [Lead Name], this is [Your Name] from [Your Company]. I appreciate you taking a few minutes to speak today. The goal of this call is just to understand a bit more about your current manufacturing operations and see if there’s an opportunity for us to help optimize yield and equipment performance.
[Qualifying / Discovery Questions]
Can you walk me through your current process for monitoring yield and equipment performance?
What are the biggest challenges you face with equipment downtime or throughput variability?
How do you currently consolidate and analyze production data across your fab or multiple lines?
Are there any specific goals or initiatives this year around improving yield, reducing scrap, or boosting equipment efficiency?
How do you typically prioritize improvements—through automation, process changes, or data-driven insights?
[Key Value Points – Framed as Conversation, Not Pitch]
Our platform unifies data from multiple tools and equipment, giving a single source of truth for production performance.
It automates anomaly detection and predictive maintenance to help reduce downtime and improve yield.
Customers in semiconductor manufacturing have seen measurable improvements in throughput and reduced scrap through actionable, data-driven insights.
The system is designed to integrate seamlessly with existing equipment, minimizing disruption while maximizing operational visibility.
[Next Step / Close]
Based on what you’ve shared, it sounds like there could be a fit. Would it make sense to schedule a short session with our solutions team to see how this might work with your current setup?
Or to be more specific:
Pro tips
Adjust the pain-point category to influence the angle of the qualifying questions
Swap in a different solution type to shift the value message
Use the generated script as a base and personalize to each account
Keep scripts short—they perform best when reps can deliver them naturally
Related prompts
ChatGPT Prompt for Lead Pain-Point Analysis
This prompt lets ChatGPT act like an analyst who interprets a lead’s situation and maps their pain points to clear solution benefits.
ChatGPT Prompt for Semiconductor Discovery Call Script
This prompt generates a concise discovery call script tailored to semiconductor leads, with intros, qualifying questions, and solution highlights.
ChatGPT Prompt for Semiconductor Lead Nurturing Content Ideas
This prompt lets ChatGPT suggest tailored content types for long-term nurturing based on industry, timeline, and buying-stage alignment.
