Improved First Contact Resolution rate
Mistake proof solutions with improved next best action
Reduce Average Handle Time
Decision trees provide an auto traverse option for any customer questions. The feature makes support teams not miss any crucial steps while interacting with customers. This leads to accurate resolutions and happy customers.
Create simple or complex decision trees with options to add, edit, and delete a guidance step or user response. Make customized scripts for customer support agents with Knowmax’s DIY interactive decision tree software.
With an integrated interface, link a guidance step to any node in the decision tree. Nodes can be linked to jump or skip unnecessary steps to reduce response time. Media attachments can be added to nodes to speed up resolution.
Collect customer data through CRM integrations and track each customer’s journey. With correct customer data always at your disposal, provide the best solutions for individual customer problems.
Explore time spent on every node, usage analytics, efficiency, and resolution rate of each decision tree through a unified dashboard. This helps analyze data all around to improve on the existing knowledge base and shape CX strategy.
Online interactive decision tree maker software lets enterprises across telecom, health care, BFSI, and more create crisp, mistake-proof resolutions for simple or complex customer queries. The no-code DIY feature of the decision tree tool allows easy knowledge creation and sharing for support teams. This enables exceptional CX through assisted and digital channels.Get a demo
Knowmax’s interactive interface & advanced knowledge sharing capabilities have improved collaboration, and empowered our agents with ready access to actionable knowledge, resulting in faster turnaround times and improved customer satisfaction.
By integrating Knowmax with our support channels, we’ve successfully handled over 3.7mn transactions via chatbots, along with improving knowledge access for over 120 agents.
We’re now delivering seamless customer service to over 2mn users. Knowmax helped us use our knowledge effectively, and we witnessed 28% higher CSAT and 12% increase in FCR.
Our T&Q and KM team uses Knowmax to enhance agent learning, reduce errors & shorten AHT. Picture guides make it easy for our support teams and customers to solve even complex issues quickly and efficiently.
I mapped an agent’s journey from new hire to the production floor, and showed how Knowmax reduces their learning curve. Our clients loved it.
Nearly 60% of customers feel that long holds and wait times are the most frustrating parts of a service experience. With interactive decision tree software, enterprises can create guided step-by-step workflows for resolutions in just a few steps. From quick troubleshooting to auto traverse steps through CRM integration, enhance customer experience with the online decision tree maker.Read full blog
Reduction of errors by support teams
Call Deflection to Self Service channels
Reduction of time to proficiency
Reduction in support costs
Do users need to remember decision tree titles for search?
With the Knowmax platform’s intuitive search capabilities, users can search for any decision tree using keywords.
Can decision tree steps be automated?
With the integration of APIs on interactive decision trees software, answers can be auto traversed to decrease the redundancy of steps.
How long does a user take to learn the decision tree tool?
Knowmax Interactive decision tree software comes with navigation tutorials that help anyone learn to create call center scripts in no time.
Are decision trees accessible across departments on Knowmax platform?
Yes. On the Knowmax knowledge management platform, users can access organizational information department-wise.
Can we check detailed usage feedback of decision trees?
Knowmax tracks usage analytics of each user on each decision tree, including the time spent.
Can we migrate existing content to create a decision tree?
Yes, you can migrate existing content to the Knowmax cloud knowledge base and create decision trees.