Content
AIOPS.D
AIOPS.D is a first-of-its-kind business and subscription offering designed to help clients quickly and easily implement AI-fueled autonomous business processes across industries and functions. Organizations are increasingly turning to microservices to quickly build, test and deploy cloud-native applications
With user-centered approach, the goals was to create an intuitive interface for effortless management while incorporating gamification.
Overview
Role
Product Stratergy
6 Months
Tablet
Web Application
BA
Product Manager
Product Owner
Figma
Miro
Paper Prototypes
Product and UI /UX
Platform
Teams
Duration
Tools
Problem Statement
Many chatbots today fail to meet customer expectations. They often provide slow or inaccurate responses, struggle to understand complex questions, and feel robotic or unnatural to interact with. Customers are increasingly seeking new solutions that offer faster, more personalized, and human-like interactions. These limitations lead to user frustration and make it harder for businesses to deliver effective customer support.
AIOPS.D conversational chatbot is designed to address these challenges by using advanced AI to provide smooth, accurate, and engaging conversations, improving satisfaction and efficiency for both users and businesses.
What is the product promising?
By combining advanced AI with a user-focused design, AIOPS.D delivers an enhanced, seamless, and effective conversational experience.
Human-like Conversations:
Natural, intuitive, and friendly interactions that feel less robotic.
Contextual Understanding
The ability to comprehend the context of complex queries for more relevant and meaningful answers.
Faster, Accurate Support
Quick and precise responses to user queries, reducing wait times and errors.
Scalability
Efficient handling of high query volumes without compromising service quality.
Cost Efficiency
Reducing operational costs while enhancing customer satisfaction.
Personalized Experiences
Tailored solutions and suggestions based on user preferences and history.
Creating Style Guide
Post approval started with Style guide and defining the components
Hi-fidelity Designs
What is the product promising?
By combining advanced AI with a user-focused design, AIOPS.D delivers an enhanced, seamless, and effective conversational experience.
Human-like Conversations:
Natural, intuitive, and friendly interactions that feel less robotic.
Contextual Understanding
The ability to comprehend the context of complex queries for more relevant and meaningful answers.
Faster, Accurate Support
Quick and precise responses to user queries, reducing wait times and errors.
Scalability
Efficient handling of high query volumes without compromising service quality.
Cost Efficiency
Reducing operational costs while enhancing customer satisfaction.
Personalized Experiences
Tailored solutions and suggestions based on user preferences and history.
Redefining the workflow.
By combining insights from stakeholders and users, I developed a new workflow. Based on the data I gathered, I began working on the wireframing approach.
Conducting Research Procress
I collaborated with the Business Analyst and Project team to gather detailed requirements. I then analyzed and synthesized data collected from users and presented the findings to cross-functional teams.
Research Document Link
Speak to our Users and gather Insights
Organized a session with our users to better understand how this existing process is assisting them and what it needs, all while studying the real-world pain spots that slow them down in their daily Tasks. This session was conducted with five managers and Technical team leads from different locations around the world.
Re-prioritising features and plan the roadmap
From the workshop with users, I gathered a lot of new insights that were not identified before. A list of critical needs was identified. The experience outcomes were updated with the latest needs.
what did I do next ?
Want to see the detailed design? Click the link below to explore the prototype!