commit command. Improving engineering productivity isn’t just a technical challenge. Helping people change requires understanding that they are complex and their ways of working are deeply ingrained.
The Uplevel Method is the secret sauce on top of our insights platform that drives engineering org transformation — the first holistic solution that helps maximize value delivery over time.
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Uplevel provides actionable intervention and training. ICE helps teams adopt healthy behaviors that create change, drive sustained value delivery — and stick.
There is no script for leading effective engineering teams.
“People, processes, and technology” misses the holistic cultural element of building effective organizations. This matters because culture is the context that directly and indirectly impacts engineering value delivery.
Engineering improvement is a sociotechnical problem. When a problem’s root causes are both social and technical, its solutions must be too. We believe that:
Data alone (without effort) is not enough to effect organizational change. And improvement happens faster when it can be made visible, quantified, and incentivized over time.
Unlike systems, people tend to act in their own best interests. They require customized strategies and incentives to make behavioral changes stick.
Successful change starts with engineering leaders, but requires bottom-up participation, co-authorship, and buy-in from developers so that all parties are invested in the outcome.
The Uplevel Method is centered around our WAVE Framework for Engineering Improvement, a way of organizing the approach to organizational change.
This framework fosters a mindset of continuous improvement and holistic thinking about engineering change across four main categories: ways of working, alignment to value, velocity (speed and quality), and environment efficiency. As the name implies, it's designed to be applied iteratively, with each wave discovering new opportunities.
A web app team was struggling with precise estimates, consistently missing deadlines by 5-10x and severely delaying a crucial support website relaunch.
Our change experts helped the team improve their approach by reducing dependencies, changing estimation practices, and increasing deployment frequency.
The result? A modern architecture and on-time delivery — three months ahead of revised expectations — with zero critical issues at launch.
