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Jira and Artificial Intelligence: Real time customer sentiment analysis for Jira Service Management

Berlin-Brandenburg
Mon, Mar 29, 2021, 9:00 AM (CEST)

12 RSVP'ed

About this event

Jira and Artificial Intelligence: Real time customer sentiment analysis for Jira Service Management

The problem

Service teams strive to keep their customers happy and loyal while supporting them through interactive communication channels.

Teams and their leaders need to keep track of the ongoing support process outcomes in order to achieve high levels of customer satisfaction.

Currently this is mainly achieved through costly post-support-request customer satisfaction surveys. The outcomes are

  • over-proportionally influenced by negative bias of frustrated customers
  • arriving when it is too late - the customer has already turned their back

What if

Service teams could

  • Monitor customer satisfaction in real time
  • Always see the complete picture, without negative bias
  • Analyse and report on customer sentiment trends and agent performance
  • Detect frustrated customers early in real time and intervene timely and responsibly
  • Track customer satisfaction non-intrusively, analyse the data you already have
  • Reduce cost and improve satisfaction, no more expensive biased post incident surveys.

Wow AI Insights

The app uses the AI sentiment analysis to detect tones and emotions found in Jira Service Management ticket conversations. Tones detected include frustrated, sad, satisfied, excited, polite, impolite and sympathetic. Conversations between user agents and customers are broken down and given a score according to their tone. Real time updates and a timeline of conversation tones are displayed via the quick chart API right within the issue panel. Tones and their scores are then stored within Jira for filtering, reporting and tracking.

The Journey

After reading about the emergence of AI powered SaaS offerings from the likes of Microsoft, Amazon AWS and IBM AI based sentiment analysis became available as a tool that can be integrated easily. Having worked as a customer service engineer I recognised the value of customer satisfaction monitoring and intervention in real time.

The perfect project idea for Codegeist 2020! Atlassian’s FaaS based Forge framework makes SaaS integration easy and simple. Built in security, authentication and permissions for free! The proof-of-concept implementation quickly became a winning product implementation.

Right now we are building out AI-Insights with Forge and Atlassian connect express frameworks. Core modules such as sentiment analysis and processing can be shared between Forge and ACE implementations.

We hope to present AI Insights at Team 21 as a commercial forge app for Jira service management.

About Izymes

At Izymes we’re passionate about designing and creating collaboration platforms that are useful, usable, purposeful and profitable.

… To enable people, communities and organizations to share their passions, projects and lives with excitement.

Speaker

  • Ulrich Kuhnhardt

    Ulrich Kuhnhardt

    Izymes

    After abandoning his childhood dream of becoming a forest warden Ulrich got into more practical things and finished a Masters degree in electrical engineering at TU Dresden, Germany. He applied his new-found passion for digital signal processing and joined a mobile phone software startup in Munich in 1997. When it was time to reinvent himself again Ulrich settled in Australia and started as a sup…

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Group Leaders

  • Hubert Kut

    Hubert Kut

    eBay Inc.

    Atlassian Solution Architect

    View Profile
  • Lo Voelsen

    Lo Voelsen

    kreuzwerker GmbH

    Marketing Channel Manager

    View Profile
  • Huiyi Lin

    Huiyi Lin

    resolution GmbH

    Community Leader

    View Profile

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