Today, most companies rely on generic engagement surveys, focus groups, or data from tools provided by vendors. These methods often fail to give a clear picture of what’s really happening in employees’ daily work. The feedback tends to be broad and subjective, leaving leaders without actionable insights. Current approaches also struggle to prioritize which challenges need immediate attention, and they don’t show how these issues impact productivity or ROI. As a result, leaders end up with data that’s hard to act on and miss opportunities to make meaningful improvements. We use an activity-based framework to measure effort level, time spent and experience of workers doing their work, with minimal employee disruption. This is much more precise than a typical engagement survey or a satisfaction survey sent by AI tools themselves, because it digs deep into people’s day-to-day workflow, making the data more actionable.

FOUNT plays a key role in managing change management challenges by addressing inefficiencies and friction in service operations, so that companies can reduce the cost to serve their employees or customers. It also helps enterprise service transformations by establishing benchmarks before launching major initiatives.

By capturing employee feedback, FOUNT highlights pain points and recommends actionable changes that improve usability and satisfaction, reducing resistance and enhancing adoption. Through precise employee feedback, FOUNT identifies specific workflow or tool-related issues that cause delays, frustration, or productivity loss.