RocketCase Study

Strengthening Engagement in a Distributed Non-Profit Tech Organization

CustomerOverview

Role

Role

Majority volunteer engineers, architects, and project leads

Team Size

Team Size

~150 contributors across 12+ countries

Structure

Structure

Fully remote, distributed teams

Product

Product

Catch Up AI Platform

!Challenge

Traditional management approaches didn't work in a volunteer environment.

Leads faced challenges to:

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    Maintain motivation and steady progress

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    Detect disengagement early

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    Understand team member strengths and where each person could contribute best

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    Avoid personal pressure when asking for contribution or accountability

This often resulted in uneven participation and project slowdowns.

Solution

Catch Up AI introduced lightweight weekly check-ins and positive-psychology-based reflection prompts that reinforced effort, impact, and collaboration rather than monitoring people. It also provided team-level insights to help leads place contributors where they could add the most value without awkward conversations or micromanagement.

Result
Higher sustained engagement: contributors stayed active longer
Clearer understanding of team members' strengths
More balanced contribution across projects
Less effort required from leads to resolve participation issues

Leader Testimonial

Quote

It's just so hard to notify managers about team members' strengths and weaknesses, even if you catch them soon, because managers are either too busy or ask for proof. Catch Up has been my best friend in explaining, as an Architect, who should join a team or where someone needs a different focus. It turned intuition into evidence and it has been a game changer.

Leader

Contributor Experience
Feedback felt safe and positive, not evaluative
Gamified recognition encouraged consistent engagement
People showed up because they felt motivated, not obligated
Summary

By applying positive psychology and transparent collaboration insights, Catch Up AI helped a distributed, volunteer-driven organization maintain momentum, recognize contributors' strengths, and self-organize more effectively without adding meetings or manual oversight.

proving that when leadership data becomes real-time, management can finally scale.