Beyond generations to life stages: how leaders can build cultures that truly work
The conversation and endless white noise around the ‘multi-generational workforce’ and ‘five generations in the workplace’ has become increasingly loud (and regarded as truth). What started as a marketing and advertising shorthand to define consumer groups has spilt into HR, talent, people and culture conversations. For some years now, HR and culture leaders have been designing policies and processes based on the notions of generational cohorts: Millennials want purpose, Gen Z demand flexibility, Baby Boomers value loyalty. It makes for easy headlines, but the evidence tells a different story.


03/02/26
What shapes how people show up at work is not simply the year they were born, but their life stage, their manager, and the contexts that have shaped their journey – from socio-economic background and education to culture, privilege and lived experience.
If organisations want to unlock engagement, performance and belonging, it’s time to stop designing for stereotypes and start designing for human beings.
The myth of generational labels
Generational labels are attractive because they’re simple. They give leaders an easy framework to explain complex challenges. But peer-reviewed evidence consistently shows the signal is weak.
A meta-analysis of nearly 20,000 people found generational differences in job satisfaction, commitment and turnover intent were small to negligible (Costanza et al., 2012). The reality is that humans are complex and multi-faceted and need to be viewed through a wide variety of behaviours, not just the decade they were born in, to help us understand their behaviours and motivations. A recent review concluded that “generations are social constructs, not scientific categories”. Using them risks obscuring the stronger influence of life stage, career path, and contextual factors such as privilege, opportunity and culture.
As Parry and Urwin (2021) and Ravid et al. (2024) argue, “The evidence for generational differences is weak at best; designing policy on this basis risks creating the very divisions leaders are trying to avoid.”
“Generational categories are an attractive shortcut for leaders under pressure, but they obscure the contextual drivers that better explain workplace behaviour.”
Parry and Urwin (2021)
The wider contexts that shape behaviour
Generational framing misses the deep and wide richness of human experience. What drives motivation, loyalty, and performance is a complex organism of multiple contexts. Socio-economic background shapes expectations and opportunities, influencing everything from career aspirations to resilience in challenging environments. Cultural norms and origin shape perceptions of hierarchy, authority, collaboration, and communication, meaning that two employees of the same age may respond very differently to the same managerial approach. For example, a millennial in Tokyo, Japan will likely behave very differently than a millennial from Merthyr Tydfil in Wales, even if they are born on the same day. Additionally, access to education and prior privilege, or lack thereof, affects confidence, networks, and career mobility, while life experiences – such as caring responsibilities, migration, discrimination, or career setbacks – shape individual needs and expectations in profound ways. Taken together, these factors intersect with life stage to explain much more about how people engage and perform at work than the simplistic ’Boomer versus Gen Z’ lens ever could.
Life stage and leadership matter more
Evidence consistently shows that life stage and leadership have far greater influence on workplace outcomes than generational labels. A person early in their career may prioritise learning, mentorship, and flexible scheduling, whereas someone approaching retirement might value autonomy, recognition of expertise, and work-life balance. These needs are remarkably consistent across cohorts. Managers play a decisive role in shaping engagement: research indicates that up to 70% of variance in team engagement can be attributed to managerial quality (Gallup, 2023). Career development opportunities, mentorship, and role clarity remain the most cited reasons employees leave organisations (Work Institute, 2024), while flexibility and hybrid working arrangements affect retention across all ages, with high performers’ intent to stay dropping 16% under strict return-to-office mandates (Gartner, 2024). Stereotyping based on age or generation not only fails to predict behaviour reliably but can actively harm engagement, as exposure to negative stereotypes increases exhaustion, disengagement, and turnover intention (von Hippel et al., 2019). In short, it is the combination of life stage, context, and leadership quality that truly drives workplace behaviour – and these are the levers organisations can act on to create inclusive, high-performing cultures.
Life stage and context trump generational stereotypes in predicting workplace outcomes.
The real risks of generational stereotyping
The costs are both human and financial. Higher turnover reduces organisational outcomes and replacing staff costs months of salary (Park and Shaw, 2013). Disengaged employees also carry a hidden cost; Gallup estimates disengagement costs the global economy $8.8–8.9 trillion annually (Gallup, 2024). Age-based assumptions feed into broader inequalities, compounding barriers for employees already disadvantaged by socio-economic background, cultural norms, or privilege gaps.
Evidence-based leadership playbook
RTO (Return to office) & hybrid strategy
Action: Pilot team-led schedules based on collaboration, commute, and caring responsibilities.
Why: Strict mandates reduce intent to stay by 16% among high performers (Gartner, 2024).
Recruitment & EVP (Employee Value Proposition) design
Action: Emphasise growth, learning, and equity in messaging rather than age-based perks.
Why: Career development drives retention across all contexts (Work Institute, 2024).
Retention & career development
Action: Build modular development pathways; address equity in access to training and sponsorship.
Why: Lack of development remains the top reason for quitting (Work Institute, 2025).
Managerial coaching
Action: Train managers to recognise the impact of life context – from privilege gaps to caring duties – and to respond with empathy and fairness.
Why: Managers account for 70% of engagement variance (Gallup, 2024). The old adage that people leave managers not companies is borne out by the evidence. Giving them the skills to recognise and flex their approach based on real understanding can help buck this trend.
Cross-tenure & cross-context teams
Action: Pair experience with fresh perspective, but align on values and behaviours rather than labels.
Why: Collaboration success stems from shared purpose and inclusion, not age or background.
Practical diagnostics
Leaders and organisations can replace assumptions with clear data gained from simple inquiries and measurements (these may already be part of your employee engagement question set), such as the rating scale questions shown below:
- I see a clear path for my career here.
- My manager supports me in balancing work and personal life.
- Our team’s working arrangements support collaboration.
- I feel included and valued regardless of my background or life stage.
These highlight the real drivers of retention and belonging, giving leaders actionable insights.
The leadership compass
- See the person, not the label.
- Design for life stage and lived context, not birth year.
- Equip managers as cultural multipliers.
- Tackle inequities in access, privilege, and opportunity.
- Build modular, flexible policies.
- Test, learn, and adapt — evidence before assumption.
“Manager behaviour, not generational label, moves the needle on engagement.”
Gallup, 2019
Final thoughts
Generational categories may be convenient, but they are misleading. As we have explored, it is only one of a multitude of lenses through which to view the people and teams you work with. And importantly it risks isolating and driving away talent. They can mask the more powerful influences of culture, socio-economic origin, privilege, education, and life experience.
In today’s data-driven, fast-moving and complex world, organisations are looking for algorithms to segment and understand; the reality is that human beings are messy, contradictory and complex.
That is why homogenous, generic HR strategies, rewards and policies are generally always at breaking point. In a consumer world where hyper personalisation is expected as the trade-off for surrendering our data; employees also expect that same personalisation of their employment package.
Of course, data is important but not as essential and as impactful as being truly responsive to the individual needs, wants and dreams of each person. That requires deep human connection, psychological and emotional safety and placing the human being at the heart of every process.
Lead the listening, not the conversation.
Costanza, D.P., Badger, J.M., Fraser, R.L., Severt, J.B. and Gade, P.A., 2012. Generational differences in work-related attitudes: A meta-analysis. *Journal of Business and Psychology*, 27(4), pp.375–394. https://doi.org/10.1007/s10869-012-9269-0
Gallup, 2019. *Who’s Responsible for Employee Engagement*. Washington, D.C.: Gallup. Available at: https://www.gallup.com/workplace/266822/engaged-employees-differently.aspx [Accessed 7 November 2025].
Gallup, 2023. *The Science of High-Performing Teams*. Washington, D.C.: Gallup. Available at: https://www.gallup.com/workplace/650156/science-of-high-performing-teams.aspx [Accessed 7 November 2025].
Gallup, 2024. *State of the Global Workplace: 2024 Report – The Voice of the World’s Employees*. Washington, D.C.: Gallup. Available at: https://www.gallup.com/workplace/645758/state-of-the-global-workplace-2024-press-release.aspx [Accessed 7 November 2025].
Gartner, 2024. *The data is in: Return-to-Office mandates aren’t worth the talent risks*. Stamford, CT: Gartner, Inc. Available at: https://www.gartner.com/en/articles/the-data-is-in-return-to-office-mandates-arent-worth-the-talent-risks [Accessed 7 November 2025].
Park, T.Y. and Shaw, J.D., 2013. Turnover rates and organizational performance: A meta-analysis. *Journal of Applied Psychology*, 98(2), pp.268–309. https://doi.org/10.1037/a0030723
Parry, E. and Urwin, P., 2021. Generational categories: a broken basis for human resource management research and practice. *Human Resource Management Journal*, 31(4), pp.857–869. https://doi.org/10.1111/1748-8583.12353
Ravid, D.M., Costanza, D.P. and Romero, M.R., 2024. Generational differences at work? A meta-analysis and qualitative investigation. *Journal of Organizational Behavior*, 46(1), pp.43–65. https://doi.org/10.1002/job.2827
von Hippel, C., Kalokerinos, E.K. and Henry, J.D., 2019. Stereotype threat among older employees: How age-based negative stereotypes impair performance. *Journal of Organizational Behavior*, 40(3), pp.379–395. https://doi.org/10.1002/job.2339
Work Institute, 2024. *2024 Retention Report – Decoding the Emerging Workforce*. Franklin, TN: Work Institute. Available at: https://info.workinstitute.com/hubfs/2024%20Retention%20Report/Work%20Institute%202024%20Retention%20Report.pdf [Accessed 7 November 2025].
Work Institute, 2025. *Why Lack of Career Development Makes Employees Quit*. Available at: https://workinstitute.com/blog/career-development-is-the-top-reason-for-leaving-a-job/ [Accessed 7 November 2025].