Case StudyEdTech Department×Catch Up AI
Accelerating team intelligence, engagement, and leadership efficiency with an autonomous middle manager
CustomerOverview
Client
EdTech Department
Industry
Education Technology
Team Size
105 members
Solution
Catch Up AI Platform — Autonomous Middle Manager
A 105-member EdTech department wanted to flatten its organizational structure and reduce its reliance on traditional management layers without losing visibility into performance, collaboration, or team health. The department was already highly AI-forward. Engineering teams actively used tools such as GitHub Copilot and Cursor to improve individual productivity. The next step was to bring the same level of intelligence to team management.
Flatten the organization without losing visibility
The department wanted managers and project managers to spend less time collecting updates, coordinating routine work, and manually evaluating performance. However, reducing management layers created an important operational challenge: leadership still needed a reliable way to understand what was happening across the organization. The team needed a scalable system that could:
Identify top contributors and employees who might need support
Surface real-time team health and engagement signals
Collect meaningful peer feedback continuously
Provide objective evidence behind performance observations
Help leaders act without creating more meetings, surveys, or administrative work
Traditional survey and performance-review tools could not provide the immediacy, participation, or context required. They depended heavily on manual input and often revealed problems only after they had already affected the team.
SolutionCatch Up AI was deployed as a fully autonomous middle-management layer
Catch Up AI connected to the digital environments where work and collaboration were already taking place, including Slack, Zoom, Git, and Jira. Instead of asking team members to complete lengthy assessments, Catch Up AI transformed existing work signals and lightweight peer interactions into continuously updated employee and team intelligence.
Within one day
Every participating team member received a comprehensive AI-generated profile based on relevant collaboration and work activity. These profiles helped leaders understand contribution patterns, engagement, strengths, and development opportunities without waiting for a formal review cycle.
Within two weeks
7,200+
Feedback entries were AI-curated and verified by team members.
Fully organic engagement
Participation continued without leadership reminders or follow-up messages.
6 managers
Transitioned into technical-lead or individual-contributor roles, reducing managerial overhead.
10 personalized messages
Were sent by the VP of Engineering to recognize top performers.
3 employees
Were identified as having low-engagement signals. One re-engaged after receiving Catch Up AI nudges, while two cases were validated through negative manager assessments.
Impact
Real-time team intelligence
Catch Up AI visualized team health through AI-generated spider charts covering five essential dimensions. Scrum Masters and team leads described the findings as highly accurate and strongly aligned with what they had already sensed through day-to-day interactions. The difference was that these observations were now visible, structured, and supported by evidence.
- Psychological Safety
- Teamwork
- Inspiration
- Morale
- Sense of Belonging
Earlier and more confident intervention
The department could identify engagement risks before they developed into larger performance or retention problems. Instead of relying on intuition alone, leaders could see patterns, validate their observations, and decide whether an employee needed recognition, support, a change in workload, or a direct conversation.
Personalized recommendations for each team
Catch Up AI suggested practical activities based on each team’s engagement and collaboration patterns. Team members described the recommendations as useful, productive, and relevant to their actual needs.
- Targeted one-on-one conversations
- Virtual team-bonding activities
- Cooking and cocktail-making sessions
- Recognition messages for high contributors
- Development actions based on engagement patterns
More recognition for valuable work
Catch Up AI helped leadership identify strong contributors whose impact might otherwise have remained less visible. Using these signals, the VP of Engineering sent ten personalized acknowledgment messages to top performers, turning team intelligence into immediate recognition.
A leaner organizational structure
With Catch Up AI supporting continuous visibility, feedback, and engagement tracking, six managers were able to transition into technical-lead or individual-contributor positions. The department reduced managerial overhead without removing the support, feedback, and performance visibility teams needed.
| Metric | Result | Timeframe |
|---|---|---|
| AI-generated employee profiles | Department-wide coverage | 1 day |
| AI-curated and team-verified feedback | 7,200+ entries | 2 weeks |
| Leadership follow-ups required for participation | None | During initial rollout |
| Managers transitioned to technical or IC roles | 6 | Following rollout |
| Personalized recognition messages | 10 | Initial rollout |
| Low-engagement employees identified | 3 | Initial rollout |
| Re-engaged through autonomous nudges | 1 employee | Following detection |
| Cases validated by manager assessments | 2 employees | Following detection |
Customer Testimonial
As a work manager accountable for the effectiveness of several teams of knowledge workers, continuously improving the quality of our interactions is of paramount importance to me. My experience using Catch Up is that it is an extremely powerful technology with cumulative positive effects on work culture. The return on time invested leveraging Catch Up is excellent. Everyone found it non-intrusive and highly respectful of people’s valuable time. I strongly endorse gaining the benefits of Catch Up in any organization because the business case for it is so clearly apparent and reliable. Even as an early adopter, I wish I had used it sooner and maximized the outcomes my teams produce. Now that we know it is available and what it is capable of, the biggest waste would be hesitating to bring Catch Up into your organization.
Work Manager, EdTech Department
Leadership Perspective
We saw in one month what normally takes a year to surface. The insights aligned exactly with what we sensed intuitively, but had no data to prove. Catch Up AI made those team dynamics visible, factual, and actionable. With clear patterns and data points in front of us, we could finally plan interventions, address engagement challenges, and build monthly development strategies instead of relying on gut feeling. The experience was genuinely engaging. Feedback felt neutral and safe for the team, which encouraged open participation. The gamified elements, including sending small gifts, added a fun layer that motivated everyone to use the app consistently. It made assessment feel natural, positive, and part of how the team works, rather than another HR task.
Scrum Master, EdTech Department
Catch Up AI operated as an intelligence layer, not another management tool
It worked inside existing workflows
Catch Up AI used signals from Slack, Zoom, Git, and Jira rather than asking employees to maintain another system.
It reduced dependence on manual reviews
AI-generated profiles and continuous feedback gave leaders a more current view than periodic performance-review cycles.
It made participation lightweight
Team members could contribute without lengthy surveys or disruptive processes, helping engagement grow organically.
It connected insights to action
The platform did not stop at reporting. It recommended recognition, team activities, one-on-one conversations, and development actions.
It supported organizational restructuring
By automating routine visibility and feedback activities, Catch Up AI made it possible to move managers into hands-on technical positions without creating an intelligence gap.
The result: a leaner organization without becoming less informed, while maintaining meaningful support, feedback, and performance visibility without adding managerial workload.
Catch Up AI helped the department become leaner without becoming less informed
By combining AI-generated employee profiles, verified peer feedback, autonomous nudges, and real-time team-health intelligence, the department reduced its reliance on traditional management layers while maintaining meaningful support for employees. The result was a more visible, responsive, and AI-native organization without adding managerial workload.