There’s one aspect of insurance that everyone can come to the same conclusion about: it’s complicated. Whether you’re talking about home insurance, life insurance, travel insurance, property insurance, or any other type you can name, the same issues around complexity arise. In an industry so deeply-rooted in lots of paperwork, fact-checking, and claims processing, important and confusing details of all sizes are plentiful.
Agent scripts are one solution that has really helped to simplify these types of everyday insurance processes. In today’s digital world, however, the traditional call script is being replaced with something even more effective and easy-to-use. Interactive decision trees and agent scripts for insurance make it easy to pick products, follow processes, and collect important data.
Leading companies and independent insurance agents worldwide use interactive decision trees for insurance to streamline and simplify every detail – meaning more people helped, more money saved, and more consistently-positive interactions reported. Here’s how some of our insurance-based customers are taking advantage of interactive decision trees:
Case 1: AFLAC
AFLAC, a leading insurance provider in the US, is using interactive decision trees for insurance to guide their insurance sales agents in order to locate and offer the best possible policies for prospective customers.
Case 2: Zudy
Zudy, a no-code enterprise platform, works with insurance companies to provide interactive insurance scripts around their most important and complicated topics, including claims processing.
Case 3: Easy Insurance Scripts
Easy Insurance Scripts partners with Zingtree to deliver powerful agent scripts to insurance agents, along with its roster of equally helpful tools and resources for agents.
While the use cases and exact results may vary from agent to agent, organization to organization, the benefits really boil down to 3 main things:
- Consistency
- Guidance
- Simplification
Let’s take a closer look…
Consistency
Details in the insurance industry are more than important – they are absolutely vital to the integrity of the practice itself. With so many critical details and rules within every claims process, consistency in the information and experience provided cannot be overlooked.
To ensure consistency, interactive decision trees and agent scripts are completely standardized across the board. For real-time conversations, training scenarios, and processing situations, having a consistent and reliable script can help to achieve the intended goals.
Guidance
In many insurance interactions – training or otherwise – interactive, step-by-step guidance can be incredibly useful. Insurance agents and organizations are using interactive decision trees to guide customers to the best products for their needs, as well as guide agents in exactly to say next.
Ted Baker, Founder of Easy Insurance Scripts finds that “with scripts for guiding conversations, interactive trees to train new agents, and the reporting that comes along with it, agents are able to provide a better customer experience that’s consistent and informative.“
Simplification
Making things more simple is usually the best route to go. When you’re talking about insurance, however, the details that are being simplified still need to maintain their integrity. Interactive decision trees for insurance allow agents to ask a few pointed questions, collect the necessary information, and file what needs to be completed all in one streamlined format.
By asking a few questions and simplifying each task through a series of easy-to-follow, guided steps, decision trees and agent scripts for insurance ensure the correct process is followed for recommending policies and processing claims every time.
These 3 digestible, yet extremely powerful benefits of interactive decision trees are enough to make every customer interaction more positive and productive. Have any questions? You can see live examples and learn more about our solutions for insurance agents and organizations on our site, or feel free to reach out directly.