We know data. We know people.
Humanly Probable brings together expertise in people analytics, statistics and data visualisation with backgrounds spanning psychology, HR and community development.
That combination matters.
Organisational data does not exist in a vacuum. Behind every survey response, recruitment outcome, absence trend or turnover figure is a person experiencing a workplace, a manager making decisions, and an organisation trying to achieve something.
We use rigorous analysis to identify patterns, differences and relationships, then draw on our understanding of people and organisations to help make sense of what those findings might mean in practice.
Our experience spans:
Psychology & behavioural insight
Understanding motivation, trust, engagement, behaviour and how people experience work.
People analytics & statistics
Survey analysis, statistical testing, recruitment analysis, workforce data and research design.
Data visualisation
Turning complex information into dashboards, reports and visual stories that decision-makers can actually use.
HR & organisational practice
Understanding recruitment, policy, management, employee experience and organisational change.
Community & social perspectives
Listening to people, working with diverse communities and recognising the importance of context and lived experience.
The numbers tell us where to look. People help us understand what we find.
Why Humanly Probable?
Technical analysis without losing the human story.
A statistically significant result is not automatically an important one.
A correlation does not tell us that one thing caused another.
An overall engagement score can hide very different experiences across an organisation.
And a focus group can tell us what people are experiencing without necessarily telling us how widespread that experience is.
That is why we bring different forms of evidence together.
We use quantitative techniques to understand what is happening, where and for whom, and qualitative research to explore how people experience it and what may be contributing to it.
Then we translate that evidence into something leaders can actually act on.
Measure. Understand. Change. Measure again.
We do not start with a preferred intervention and work backwards.
We start with the question.
What we believe about work
People are not just a cost to manage.
How people experience work affects whether they contribute, speak up, stay, develop and trust the organisation around them.
Flexibility and commitment are not opposites.
Giving people appropriate autonomy does not mean abandoning organisational needs. Good work design looks for ways to create both.
Managers matter.
The same organisational policy can feel very different depending on how it is interpreted and implemented locally.
Evidence should lead to action.
Collecting more data is not the objective. Better decisions are.
A message from the founder
Work is changing. The way we understand it needs to change too.
When I founded Humanly Probable, I kept coming back to a tension I could see across modern workplaces.
Organisations understandably need performance, commitment, collaboration and consistency. At the same time, people increasingly expect autonomy, flexibility, trust and some control over how they work.
I don't think those things have to be in conflict.
My own research into workplace inflexibility reinforced how closely the experience of flexibility can sit alongside trust, engagement and the way people respond to their organisation. It also highlighted something more nuanced: flexibility is not simply about where somebody works. Purpose matters. Relationships matter. Managers matter. And the same policy can be experienced very differently by different people.
That is why I am interested in the questions underneath the headline number.
Why is one team thriving while another is struggling?
Why are people applying but not progressing?
Why did a policy produce a different outcome from the one intended?
Why are employees becoming quieter rather than telling the organisation something is wrong?
And what would actually make things better?
Humanly Probable was created to investigate those questions properly.
We combine statistical analysis, people data and research with an understanding of psychology, organisations and lived experience. We challenge assumptions, distinguish evidence from explanation, and try to understand a problem before recommending the solution.
Because creating workplaces where people can do good work and organisations can succeed should not be competing objectives.
Dr Helen Lacey
Founder, Humanly Probable
