How we created an onboarding script with ChatGPT
Using ChatGPT to Create Effective Onboarding Call Scripts
In our quest to streamline and enhance our onboarding process, we leveraged the power of Large Language Models (LLMs) to create tailored call scripts that align with our product-led growth strategy. Here’s a detailed look at how we used ChatGPT to achieve this, including the prompts and steps we followed to develop comprehensive and effective scripts.
Step 1: Identifying Our Needs
First, we identified the key areas that our onboarding script needed to address. These included:
Step 2: The CLOSER Framework
The CLOSER framework, as popularized by Alex Hormozi, provides a structured method to recognize customer needs in sales or consultation conversations and present a solution effectively. The framework:
The main benefit for using this framework is that it is based on a series of questions, which means that you can always pick up the thread in case you get lost in the conversation and not have to worry about what statements to make.
Step 3: Crafting the Prompt
We started by crafting a detailed prompt for ChatGPT to generate an initial version of the onboarding script. Here’s an example of the prompt we used:
Prompt: I need help creating an onboarding call script for our SaaS product, which provides personalized lead search and research for B2B sales teams. The script should include:
1. Introduction
2. Clarifying the client's objectives and challenges
3. Gathering detailed information about their lead generation and qualification processes
4. Highlighting the value of our product
5. Encouraging a free trial
6. Setting up a follow-up call
I want to use the CLOSER framework which goes as follows:
- **Clarify (C)**: Understand the client's goals and reasons for the call.
- **Label (L)**: Identify and label the client's main problem.
- **Overview (O)**: Review past attempts to solve the problem and provide empathy.
- **Sell them the Vacation (S)**: Highlight the solution and its benefits.
- **Explain (E)**: Address any objections and clarify decision-making criteria.
- **Reinforce (R)**: Confirm their decision positively and provide ongoing support.
Can you generate a detailed script for this?
Step 4: Reviewing and Refining the Script
ChatGPT generated a comprehensive onboarding call script, which we then reviewed and refined to ensure it covered all necessary aspects and aligned with our specific needs.
Initial Onboarding Call Script
Introduction
Clarify (C)
领英推荐
Label (L)
Overview (O)
Detailed Needs Analysis
Sell Them the Vacation (S)
Explain (E)
Reinforce (R)
Next Steps
Testing & refinement
It goes without saying that this onboarding script remains a living document. That said, the CLOSER framework helped tremendously in providing a base structure and all we need to add or change are items that come up during real-world conversations.
Conclusion
Using this approach for our onboarding call scripts significantly boosted our confidence in client interactions. By leveraging AI, we were able to quickly develop detailed and effective scripts that address our clients' needs and align with our product and growth strategy.
PS: Shameless plug –?in case you want to experience this as a live performance, feel free to grab an onboarding slot in our app ??
KI Agenten & Prozessautomatisierung für KMUS ?? Experte für künstliche Intelligenz ??
7 个月Exploring the potential of ChatGPT for onboarding is a game-changer. Arne Wolfewicz’s article provides valuable insights into crafting effective scripts that can enhance user experience and streamline processes. This approach not only saves time but also ensures consistency in communication. Leveraging AI in this way is essential for modern startups looking to optimize their operations.
Arne Wolfewicz many thanks for sharing ??
Senior Managing Director
7 个月Arne Wolfewicz Very Informative. Thank you for sharing.
Co-Founder & MD vanilla steel
7 个月Antonio Varriale