The work preference layer

We do our best work when we can ‘play to our preferences’.

Sariio is the work preference layer. It draws on preference data to enable people to shape their own contribution and commit to doing their best work together.

Says who?

Featured Article

Exponential Transformation: Who Gets a Say in How the Work Gets Done?

TL;DR

Digitisation and AI make personalised reporting possible across an organisation. Sariio applies two of the Six Ds, disruption and democratisation, to enable people at every level to shape how they contribute to the strategy.

In Disruption: A Force for Good?, David Foggin applies Jean-Marie Dru’s framework to people testing and asks why interpreting a report became a specialist task.

Read the complete article

Where it makes a difference

What are you working through with your people?

These questions may involve a team, a whole organisation or the partners you work with. Which is closest to your situation?

01 Team performance

What support do our people need from coaching?

People bring different goals and ways of working to coaching. Managers are balancing those needs with the rest of their role.

How Sariio works in coaching

02 Retention

Why do people stay and thrive?

Pay, workload, relationships and support can all matter. Which parts of the experience do people want you to understand?

Retention

03 Culture

How do people experience our culture across sites?

Your organisation's values need to mean something in everyday work, across teams, sites and partnerships. How does that experience vary?

Culture across sites

04 AI

What will AI mean for our people?

As tools and roles change, leaders and colleagues have questions about the work that remains and the support people will need.

AI and your people

The work preference layer

What helps people do their best work together?

We do our best work when we can ‘play to our preferences’.

A myMAP puts a person's work preferences into words, including how they prefer to prepare, decide and contribute. Colleagues can compare similarities and differences by mutual choice, then discuss what those preferences mean for the work they share.

That might mean agreeing time to prepare before a meeting, trying a different way to share feedback or discussing how a new starter likes to learn. Try an action together and review what happens. Pay, workload, systems and management practice also shape people's experience.

What we believe

What are work preferences?

Playing to our preferences is the first of the twelve beliefs behind Sariio, and the reason the work preference layer exists.

What helps each person do their best work? A myMAP provides language for discussing work preferences. How do they like to take in feedback? Do they want the detail first, or the big picture? Do they think out loud, or on their own first? Those answers can help people discuss what they need from coaching.

Says who?

The research backs the instinct. Across 172 studies, how well a person fits their work correlates .56 with job satisfaction and .46 with their intention to stay (Kristof-Brown, Zimmerman and Johnson).

TL;DR

We do our best work when we can play to our preferences

The article explains how work preferences can inform decisions about tasks and collaboration.

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  • Gallup’s meta-analysis of 112,312 business units found top-quartile engagement teams were 23% more profitable and 18% more productive than bottom-quartile teams. (Gallup, 2020)
  • Cerasoli’s 2014 meta-analysis of 183 samples, N = 212,468, found intrinsic motivation reliably predicts performance quality. (Cerasoli et al., 2014)
  • Sariio MAPS reads 60 work-preference pairs on continuous scales and treats each reading as a snapshot, with people expected to retake it at least twice a year. (Sariio, 2026)

For leaders, look for practical ways to align tasks and collaboration with people’s work preferences, then revisit those preferences as roles and circumstances change.

Read the full article
TL;DR

What are work preferences?

Work preferences describe how people do their best work, and person-job fit correlates .56 with satisfaction and −.46 with intention to quit.

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  • Work preferences cover how people build relationships, think and plan, make decisions and get things done; everyone has a full set, and no preference is wrong (Foggin, 2026).
  • Person-job fit correlates .56 with job satisfaction, .47 with organisational commitment and −.46 with intention to quit, but only about .20 with rated performance (Kristof-Brown et al., 2005).
  • 6 in 10 fully-remote employees would look for a new job if remote flexibility were removed (Gallup, Hybrid Work Indicator).

For leaders, ask people’s work preferences alongside how they feel about work, then use those insights to discuss role fit and working arrangements.

Read the full article

Read all twelve beliefs   The six steps

Why coaching

What helps a coaching conversation become useful?

A clear goal, time to reflect and a chance to review what happened give people something practical to work with. The research below explores coaching and feedback in the workplace.

TL;DR

The feedback sandwich, reviewed

The feedback sandwich was built to ease managers’ discomfort, yet evidence links praise-led feedback to weaker results; over 38 per cent of feedback effects were negative.

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  • Kluger and DeNisi analysed 607 effect sizes across 23,663 observations; over 38 per cent of feedback effects were negative (Kluger and DeNisi, 1996).
  • Feedback helps when attention stays on the task, while praise can pull it towards the self and weaken its effects (Kluger and DeNisi, 1996).
  • In tests, corrective-first sequences worked best and praise-first least; a separate study found sandwich feedback helped students prepare more thoroughly for a later task (Henley and DiGennaro Reed, 2015; Prochazka et al., 2020).

For leaders, keep feedback specific to the work, put the key correction first, and give praise separately so it feels sincere.

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Coaching & performance

Retention

What could change someone’s decision to leave?

In Gallup’s study of 717 U.S. employees who left voluntarily, 42% said their manager or organisation could have taken action to retain them in their roles.

Read what employees said about staying

Who you'd be talking to

You'd be talking to David.

David Foggin studied organisational leadership at Harvard Business School, with John Kotter as tutor and mentor.

His culture and integration work includes Nestlé UK, Mars Confectionery, the Deutsche Bank and Bankers Trust integration and the executive team at LV=. In contact centres he has worked on operations for Sitel, Inkfish, Everflow and Shadow Global. He built the first version of the work preference map in 2007, and 12,000 people across 40 organisations have used it since.

About David

Shadow Global, Cape Town

“Sariio strengthens our ability to have meaningful, data-led conversations with employer partners about candidate fit, while empowering our Shadows with greater insight into their strengths and potential.”

Nate Jacobs, Chief Operating Officer, Shadow Global

“For us to be sustainable, it's this kind of continuous improvement that would really support us. Sariio is an incredible tool.”
Tholakele Nyongo, Head of Facilitation & Training, Shadow Global

What earlier clients reported

Sariio’s first generation, Saviio MAPs, was used by Sitel, Sage, Nigel Frank International, SAM Headhunting and others between 2007 and 2012. Each started by mapping the people already doing the role well.

41 of 42outsourced technical advisers stayed to the end of a nine-month contract
27%above first-month target for new outbound sales agents
10%+lower annual attrition across five Sitel client campaigns
35%+fewer placement drop-outs at Nigel Frank International
See the track record and the original case studies