Leveraging User Feedback To Drive Automation | Automation Days Asia 2022
By Harish Srigiriraju
In today’s digital age, user feedback is an invaluable source of data that can fuel business growth and innovation. By understanding user sentiment, uncovering unmet needs, and identifying areas for improvement, organizations can leverage this feedback to enhance their automation strategies. Advanced analytics and artificial intelligence (AI) are increasingly being used to process and analyze feedback at scale, transforming it into actionable insights that can drive automation across various functions.
In this session, Harish Srigiriraju will explore the critical role user feedback plays in guiding automation efforts. Feedback can be collected through numerous channels, including surveys, social media, in-app responses, and direct customer interactions. By segmenting users and customizing feedback triggers, organizations can gather targeted insights that help distinguish between satisfied and dissatisfied users. These insights are key to identifying which features resonate with users, where pain points exist, and how automation can address these needs to improve the overall user experience.
Harish will also discuss how companies can utilize user feedback to promote specific features, refine marketing campaigns, and develop more personalized services. By automating responses based on user sentiment, businesses can enhance their customer engagement strategies, increase customer loyalty, and drive efficiency. Attendees will learn how to integrate feedback mechanisms into their automation workflows, harness AI to analyze data, and implement real-time solutions that deliver value to both users and the organization.
About Speaker
Harish Srigiriraju is a Distinguished Engineer at Verizon. He has expertise in leveraging advanced analytics and artificial intelligence to improve and promote apps.
He has led several cross-functional projects to draw insights on user behavior and develop new features with help of various analytics tools and models. He has prior experience in software programming and graduated from Kellogg School of Management with an MBA.
