14 Aug, 2018
Science aims to secure knowledge about our world, knowledge which is robust, testable and shareable. With knowledge comes understanding: with understanding we are better placed to explain complex phenomena and systems, and better placed to predict and control the outcomes of our actions.
Organisational science, allows us to secure knowledge and understand the most complex of phenomena within organisations, the people.
We know that a happier, more engaged workforce leads to a more successful business but how can we really know that our people are as happy and productive as the business demands? Without that secure knowledge we have traditionally had to fall back on guesswork and unexamined assumptions about how things are working and how our people are performing.
We can guess at the links and causes that might be active in the background of an organisation and we can rely on hearsay and opinion. But what if there was a way of capturing and analysing our employees’ conversations, those water cooler exchanges that reveal the truth about their working lives?
At work, just as in life, we converse, we respond, we question, and we listen, as part of a complex, social process. Indeed, the information we provide about ourselves can appear messy and inconsistent. We’ve all ticked boxes and checked categories on endless surveys, but are these efforts really capturing what we need them to? In these circumstances, how can mere talk provide robust and useful evidence?
Faced with this challenge, people analytics all too often is reduced to simple patterns and correlations in traditional structured data. This is not enough to make a decisive difference to the development of a business strategy. Organisations need cogent information that determines causal processes and links. Leaders should not be satisfied with simple information about what people do. It is important to be preoccupied with why do people do what they do?
Qlearsite's technology challenges this status quo. Because we understand how language and people work, we build systems that draw out the authentic dimensions of workforce experience. Through natural language processing, we can analyse and thematicise thousands of employee voices, yielding insight into organisational behaviours, risks and opportunities.
We also look for deeper insights and explanations for these patterns in language and produce evidenced-based theories with predictive capability that can be applied in concrete situations. And with well-designed analytics, even relatively basic information can provide insight into the factors that affect business performance.
On the face of it, the analysis of data this way can seem daunting. Organisations face challenges –
- How do we gather information about our workforce?
- How reliable is the data?
- How do we get all our data in one place?
Businesses are complex, and humans are complicated and changeable.
People data all too easily slips between the cracks but organisational science secures genuine knowledge. It allows us to build scaleable, long term plans and organise values, goals and behaviours in the light of real facts about our workforce.
We want happy, engaged and motivated workforces. We’ve built the technology to make it happen. We are pioneers of Organisational Science.