"The essence of strategy is choosing what not to do." — Michael Porter
Part 1, called HR value and operating model the filter — the one item on the agenda whose job is to judge the rest. Part 2 showed why it needs judging: a consensus that reads more like a market than a measurement. This part is the filter itself.
Porter's line is usually quoted in the context of products. It applies with more force to the trends on your desk: if strategy is choosing what not to do, a people strategy is defined as much by what it rejects as by what it adopts. Almost no one rejects anything. That is the gap this method closes.
The three disciplines below are not freestanding tips; they are the People Centricity Methodology™ — Empathise, Strategise, Realise, Analyse — turned on the reports themselves: gather the evidence first, treat every trend as a hypothesis, then define success up front and keep score.
The proof: one audit, objective by objective
The strategy from Part 2 — board-approved, built on 35 interviews and 25 focus groups — gave us ten objectives to audit against the publishers' 2026 consensus, each coded independently by two coders.
- 4 objectives fell inside the consensus top ten.
- 4 objectives fell into the 11-to-20 band the consensus barely registers.
- 2 objectives sat outside the top twenty altogether — among them workforce wellbeing and performance, the themes the 2026 field had deleted.
Meanwhile, two of the consensus's own top priorities, both AI-framed, appear nowhere in the strategy — because the diagnosis surfaced context-specific priorities no global report could see: succession risk concentrated in specialised roles, and wellbeing in the most operationally demanding settings.
Adopt the consensus wholesale and the organisation would have funded two AI priorities its evidence did not support, and missed the ones its mission depends on.
The consensus audited against is published in full as our 2026 HR Trends & Priorities heatmap.
Three disciplines to cut the noise
One — Treat trends as hypotheses, not priorities
The protection is grammatical before it is analytical. A trend enters your process only as a question: not "skills-based workforce planning", but does our workforce planning fail because we plan in jobs, not skills? Much of the 2026 corpus reads as instruction — reinvent, transform, unleash — and an instruction can only be obeyed or ignored. A hypothesis can be tested. Reframed that way, a 75%-AI consensus stops being orders to follow and becomes claims to examine against your own reality.
Two — Evidence first, always
Hypotheses then face the organisation, not the literature. Interviews, focus groups, workforce data, capability assessments — across employees, managers and executives — are where the consensus is allowed to fail. The rule is non-negotiable: nothing becomes strategy until the diagnosis is validated with the people who will live with it.
This is not a house style but evidence-based practice, carried from medicine into HR: draw on multiple sources, follow an explicit process, and weigh evidence by trustworthiness. And here Porter's discipline bites — welcome the kill rate. If every consensus trend survives your diagnostic, it was a confirmation exercise, not a test.
One caution: the filter works only if whoever runs it has no stake in the result. Would this adviser earn anything from the trend being confirmed? If yes, the noise has not been filtered. It has been laundered.
Three — Define success before you need it, then keep score
The trends industry has no error-correction loop. In our three-year corpus, not one report revisits its previous predictions. Themes are abandoned, never falsified — wellbeing held a top-ten rank in both 2024 and 2025, then vanished from the top twenty in 2026, with no organisation's wellbeing problem solved.
Hold your own strategy to the opposite standard. Baseline what it is built to move before you start; define success up front; close each cycle with a review that your board can interrogate. Then score your sources: once a year, ask which of last year's published trends actually materialised — publisher by publisher. The first review improves your strategy; the second calibrates how much each report has earned for next January.
A method, not a verdict
This series argues that trends should be tested, not adopted. Three questions to put to your own agenda:
- Which trends are you obeying as orders rather than testing as hypotheses?
- Where has your own evidence been allowed to overrule the consensus?
- How will you know, a year from now, whether you were right?
Within three years, the capability that distinguishes leading HR functions will not be how fast they adopt the consensus, but how much of it they can show they were right to reject.
A larger shift sits underneath all this. A People function that imports the consensus is a curator: it arranges what others have already decided. A People function that produces its own evidence is something else — a discipline, with the Chief People Officer as its clinician, who diagnoses before prescribing and checks whether the treatment worked. That is the distance between being briefed on the future and being equipped to author it.
The filter is how you put the mirror down, look at the room, and write that person back in.
One question for your next planning cycle: when did your organisation last reject a trend, on evidence?
Method
The filtration method described here is the People Centricity Methodology™ — Empathise, Strategise, Realise, Analyse — a continuous evidence loop used in PeopleCentriX engagements.
References
Briner, R. (2024). Evidence-Based HR: A New Paradigm. Corporate Research Forum.
Rousseau, D.M. and Barends, E.G.R. (2011). "Becoming an evidence-based HR practitioner." Human Resource Management Journal, 21(3), 221–235.
