How should policy actors respond to buzzwords? Three ways to deal with policy ambiguity

By Liz Richardson, Catherine Durose, Paul Cairney, John Boswell. This post introduces our new article in Policy Sciences.
Many policy buzzwords seem to catch fire then fizzle out before their value is clear in practice.
For example, we often hear that prevention is better than cure, that wicked policy problems require systems leadership or systems change, that we need to focus on place-based approaches, and that policy can be improved via co-produced and collaborative policy design.
However, we hear less about the substantive impact of these phrases on policy and practice. As a result, people may wonder if they will go anywhere and if they should bother to make sense of them.
The ambiguity of these buzzwords is initially helpful: it helps people to coalesce around the same broad aim before worrying about exactly what to do, how, and who would be responsible.
Then, the ambiguity becomes unhelpful: people struggle to translate the buzzword into concrete objectives and sustainable action. This dynamic can become dispiriting to policy actors engaged in repeated cycles of such activity.
How can and should people respond? We identify three common responses to dealing with ambiguity: defining the problem in an authoritative, top-down manner to prescribe meaning; deliberating about the problem with stakeholders to reach a new, shared meaning; or simply doing, whereby actors ‘crack on’ and enact meaning in their everyday practice.
Each approach has a sound logic and appeal. However, the reality is that none of these responses typically resolves underlying ambiguity.
- Attempting to define simplifies and provides a clear basis for the routines of policy work (communicating, replicating, measuring), yet this approach can fail to catch on, ossify meaning in ways that are not tailored to local context, or set an impossible bar.
- Resolving to deliberate can address some of these downsides – ensuring buy-in, aligning with local context, or stall for time. Yet it can have significant downsides to – straining resources and energy, resulting in ‘talking shops’, and generally undermining any impetus for rapid action.
- The final alternative – doing – in turn represents a remedy for these problems, enabling quick adoption by finding support ‘on the ground’ and providing renewed justification for old agendas and ideas. Yet this approach can lack cohesion, lead to inconsistency, and empower local actors to ‘hollow out’ disruptive or difficult ideas.
Our conclusion is that the ambiguity of buzzwords cannot be eliminated by consulting a dictionary because it involves political choice. Further, no way of dealing with ambiguity is inherently better than the other. Instead, it is better to conceptualise efforts to grapple with buzzwords to inform a continuous cycle of action.
This conclusion is not fatalistic. Rather, progress across cycles is possible. Most buzzword cycles do not start from scratch. For example, we show that policy actors working in public health have seen the buzzword ‘prevention’ wax and wane many times in recent decades. Over that time they have built up a shared set of assumptions and practices about what ‘preventive health’ entails. Policy actors have long memories, and their frames of reference are impacted by the shared experience of past initiatives.
In this sense, our best hope is to better understand and enable the conditions for cumulative impact: multiple rounds of defining, deliberating and doing can, little by little, allow appealing buzzwords to realise greater tangible progress.

Facts Only

The article is authored by Liz Richardson, Catherine Durose, Paul Cairney, and John Boswell.
It introduces a new article published in *Policy Sciences*.
Policy buzzwords like "prevention," "systems leadership," "place-based approaches," and "co-produced policy design" are frequently discussed but often lack clear impact in practice.
Ambiguity in these terms initially helps stakeholders coalesce around broad aims.
Over time, ambiguity becomes unhelpful as actors struggle to translate buzzwords into concrete objectives and actions.
Three common responses to ambiguity are identified: authoritative top-down definition, stakeholder deliberation, and pragmatic action.
Top-down definition can simplify communication but may fail to adapt to local contexts or set unrealistic expectations.
Stakeholder deliberation can ensure buy-in and local alignment but may strain resources and delay action.
Pragmatic action enables quick adoption but can lack cohesion and empower local actors to dilute disruptive ideas.
The ambiguity of buzzwords involves political choices and cannot be resolved by dictionary definitions.
Progress occurs through iterative cycles of defining, deliberating, and doing.
Public health actors have experienced repeated cycles with the buzzword "prevention," building shared assumptions over time.
Cumulative impact is possible through multiple rounds of engagement with buzzwords.

Executive Summary

Policy buzzwords like "prevention," "systems leadership," and "co-produced policy design" frequently emerge in public discourse, often generating initial enthusiasm but struggling to translate into concrete action. The ambiguity of these terms initially helps stakeholders rally around shared goals without immediate pressure to define specifics. However, this ambiguity later becomes a barrier, as actors struggle to operationalize these concepts in ways that are contextually relevant and sustainable. Three common responses to this ambiguity are identified: top-down definition, stakeholder deliberation, and pragmatic action. Each approach has strengths—such as clarity, buy-in, or rapid implementation—but also significant drawbacks, including rigidity, resource strain, or lack of cohesion. The analysis suggests that ambiguity in policy buzzwords is inherently political and cannot be resolved through simple definitions. Instead, progress occurs through iterative cycles of defining, deliberating, and doing, with policy actors building on past experiences to refine their understanding and practices over time. Public health initiatives, for example, have seen the concept of "prevention" evolve through repeated cycles, accumulating shared assumptions and practices that gradually improve implementation.

Full Take

This analysis offers a nuanced perspective on the lifecycle of policy buzzwords, highlighting how their ambiguity serves both as a unifying force and a persistent challenge. The strongest version of this narrative acknowledges that buzzwords are not merely empty rhetoric but tools that evolve through iterative, political processes. By framing ambiguity as an inherent and unresolved tension—rather than a problem to be "solved"—the authors avoid the trap of false binaries (e.g., "buzzwords are either meaningful or meaningless"). Instead, they present a dynamic model where meaning emerges through cycles of action, deliberation, and adaptation.
**Pattern Scan**: The discussion resists common manipulation patterns, such as semantic manipulation (ARC-0024) or false equivalence (ARC-0031), by explicitly addressing the political nature of ambiguity without dismissing the value of buzzwords outright. However, the focus on iterative progress could be seen as a form of sanewashing (ARC-0052) if it downplays structural barriers to change—though the text does not explicitly do so.
**Root Cause**: The underlying paradigm here is one of incremental institutional learning, where policy actors navigate ambiguity through trial and error. The unstated assumption is that systems are capable of self-correction over time, which may not account for power asymmetries or entrenched interests that resist change.
**Implications**: For human agency, this framework empowers practitioners to engage with buzzwords as malleable tools rather than rigid directives. However, it also places the burden of sense-making on individuals, potentially exacerbating fatigue among those repeatedly tasked with translating ambiguity into action. The beneficiaries are likely those with the resources to participate in iterative cycles, while marginalized groups may lack the capacity to shape these processes.
**Bridge Questions**:
How might power dynamics influence which interpretations of buzzwords gain traction in policy cycles?
What mechanisms could ensure that iterative learning does not perpetuate existing inequities?
If ambiguity is inevitable, how can accountability be maintained when outcomes remain unclear?
**Counterstrike Scan**: A bad actor seeking to exploit this narrative might weaponize ambiguity to justify inaction ("we’re still defining the problem") or co-opt buzzwords to serve narrow interests while claiming broad consensus. However, the article’s emphasis on political choice and cumulative impact does not align with such a playbook. Instead, it encourages critical engagement with ambiguity as a feature of policy work, not a bug. No structural alignment with manipulation tactics is detected.