B2B travel insurance is an essential aspect of the travel industry, allowing businesses to ensure that their employees are protected while traveling for work. However, the process of purchasing travel insurance can be challenging for both businesses and frequent business travelers. This is where UX research comes in.
One of the most important aspects of UX research is creating user personas. User personas are fictional characters that represent the different types of users who will be using the B2B Travel Insurance SaaS product. User personas provide businesses with a deeper understanding of their user’s needs and preferences, allowing them to create a product that meets their specific requirements.
ChatGPT can assist businesses in creating user personas for their B2B Travel Insurance SaaS product by generating practical prompts and examples.
Here are some examples of prompts and questions that ChatGPT can generate:
- What are the primary pain points that businesses and travelers experience when purchasing travel insurance?
- What are the most critical features that businesses and travelers look for in a travel insurance product?
- How do businesses and travelers typically research and purchase travel insurance?
- What are the biggest challenges that businesses and travelers face when selecting a travel insurance policy?
- What are the most common mistakes that businesses and travelers make when purchasing travel insurance?
Using ChatGPT’s language generation capabilities, businesses can provide detailed answers to these prompts, which can help create user personas. For example, let’s consider a user persona for a business owner named Sarah.
- Persona: Sarah Carter
- Age: 42
- Occupation: CEO of a small business
- Background: Sarah Carter is the CEO of a small business that frequently sends employees on business trips. She is responsible for arranging travel accommodations and ensuring that her employees are covered by travel insurance. However, Sarah finds the process of purchasing travel insurance to be time-consuming and confusing, and she often struggles to find a policy that meets the specific needs of her business.
- Goals and Challenges: Sarah’s primary goal is to ensure that her employees are covered by comprehensive travel insurance that meets the needs of her business. However, she faces several challenges, including a lack of transparency in the insurance market and the need to navigate complex policy options.

We have used some good prompts like below to understand the user better
- What are the primary demographics of the businesses and employees who are most likely to use this B2B Travel Insurance SaaS product?
- What are the specific pain points and challenges that businesses and employees face when it comes to purchasing and managing travel insurance?
- How do different types of businesses and employees approach travel insurance, and what factors do they prioritize when selecting a policy?
- What are the specific benefits that businesses and employees hope to gain from a B2B Travel Insurance SaaS product, and how can these be incorporated into the user personas?
- How can user personas be used to ensure that the B2B Travel Insurance SaaS product meets the needs of businesses and employees across a variety of industries and roles?
Using ChatGPT, businesses can create detailed user personas like Sarah, providing them with a deeper understanding of their users’ needs and preferences. By doing so, businesses can create a B2B Travel Insurance SaaS product that meets the needs of their users and provides a better user experience.

West Agile Labs practices all industry standards on UX and utilizes all the necessary tools and research required for the projects. We can help you build your SaaS product with the help of our team of seasoned developers who can transform your ideas into a comprehensive web or app-based product that offers a seamless user experience.
Author Information

Anudeep is a full-stack technical lead with experience in multiple technologies such as Angular, React, Node, Java, and AWS. His passion lies in building new products that solve user-centric problems in the market. When he is not coding, he loves dancing