How a digital health startup improved their delivery with Kypso

A few months ago, we met with an engineering director of a digital health startup that his teams were experiencing challenges with manual tasks that were impacting their productivity.

He and his team leaders were actively looking for solutions to these challenges. They tried different solutions, such as automations platforms, but were frustrated with the results. They ended up solving the challenges manually, which resulted in multiple context switches and wasted time f0r the engineers.

As we looked deeper into those challenges, we categorized them into four main workflows:

• Compiling release notes: The product managers needed to get all information about each version that was released. It’s a time-consuming task requiring engineers to gather information from various sources, which often led to delays and potential inaccuracies.
• Handling customer feedback: Bugs and feature requests were getting lost in Slack, and they needed a more streamlined management approach.
• Responding to customer inquiries: Engineers were frequently pulled into Slack to address customer concerns, leading to context switches and delays.

We worked together to come up with solutions to each one of the challenges. The solutions needed to be trustworthy and collaborative, meaning that the team members needed to have access to view and change the workflows as they see fit.

Furthermore, they had bad experiences with other automation platforms they had tried in the past: they were cumbersome to set up and mostly didn’t work or couldn’t be trusted, even if they wrote custom code or used external APIs to build the workflows.

Automating with confidence

Using Kypso, we built the following workflows, requiring a human in the loop in each one of them until the teams gained trust in the platform:

• Automated release notes: Triggered by new GitHub deployments, Kypso fetched relevant Jira issues to generate and post release notes in Slack.
• Jira ticket creation from Slack: Kypso AI classified Slack messages as bugs or feature requests and automatically created Jira tickets.
• Notify on unanswered questions: If a question in Slack remained unanswered for over a day, Kypso sent a notification to the responsible individual, ensuring timely responses.

Measurable outcomes and future prospects

The introduction of Kypso translated into tangible benefits for the startup:

• Enhanced efficiency: Automation of routine tasks freed up engineers to focus on more significant, impactful work.
• Improved customer satisfaction: Faster turnaround times for queries and issues boosted customer loyalty and satisfaction.
• Cost effectiveness: Reduced need for manual intervention lowered administrative costs and streamlined operations.

Furthermore, Kypso enabled them to keep a human in the loop so they could gain confidence in their newly built workflows.

Looking forward, the potential for expanding Kypso's capabilities, such as integrating calendar management, promises even greater optimization of engineering workflows, paving the way for more creative work by the engineering teams and better, faster delivery.