# QWL Barometer: Why Your Indicators Are Green While Morale Is Dropping A protocol to contextualize results, check hypotheses, and report decisions, limits, and open questions to employees. - Canonical URL: https://www.harmate.com/en/blog/qwl-barometer-why-your-indicators-are-green-while-morale-is-dropping - Author: Harmate Team - Published: 2026-01-07 - Updated: 2026-10-12T02:55:31.208697+00:00 - Language: en ## Content # QWL Barometer: Why Your Indicators Are Green While Morale Is Dropping An aggregated score can look satisfactory while some responses describe concrete difficulties. That does not prove a general decline in morale or a “watermelon effect.” It signals that you should examine what the indicators summarize, what they leave out, and where differences appear. Quality of working life (QWL) work starts with work itself and the conditions in which it is done. The [Anact QWL framework](https://www.anact.fr/sites/default/files/2023-12/anact_referentiel_092023.pdf) describes a collective approach grounded in real work and aimed at concrete improvements. A questionnaire can help identify topics, but it cannot establish an explanation on its own: [INRS recommends complementing questionnaires with other sources and methods](https://www.inrs.fr/risques/psychosociaux/questionnaires). ## Read differences without turning a score into a diagnosis An average does not show how responses are distributed. Two teams can have the same average while their responses vary to different degrees. Before interpreting a difference, check the number and profile of respondents, question wording, the period covered, recent changes, and how results were grouped. A non-response has no known reason; a low response rate alone does not establish distrust or resignation. For each signal, keep four elements separate: 1. **The measured finding**: result, period, scope, and number of responses included. 2. **The available accounts**: exact responses and the context needed to understand them. 3. **The working hypothesis**: one possible explanation, framed as a question to check. 4. **The next verification**: discussion of work situations, observation, another data source, or a follow-up question. For example, several comments about conflicting priorities do not prove one cause or a situation shared by the whole team. They point to a specific topic for discussion: when do requests conflict, who can resolve the trade-off, and what would help people do the expected work? ## A review and feedback protocol **1. Revisit the question and scope.** Record what the survey set out to understand, the teams and period covered, and collection limits. Separate comparable results from groups with different sizes or working conditions. **2. Describe variation before explaining it.** Note themes in the responses and visible differences between teams or periods. Describe them without assigning psychological causes or traits to people. A frequency in a response set describes that set; it does not prove representativeness or prevalence across the organization. **3. Select useful excerpts.** Choose passages that illuminate a situation, including differing views and counterexamples. Remove identifying details only after considering re-identification risk; a quote that appears anonymous may still be recognizable. Do not promise anonymity without checking applicable rules, group size, data access, and commitments already made. For wording when a topic is sensitive, see [Sensitive questions: how to get honest answers without triggering defensiveness](/en/blog/measuring-sensitive-topics-without-naming-them-the-art-of-indirect-open-ended-question-design). **4. Review interpretations with the people concerned.** Share the findings and ask what is missing, disputed, and what situations could test the hypothesis. An open response preserves its author’s wording and nuance; it is not automatically factual proof. **5. Choose a small number of verifiable actions.** For each action, name an owner, a review point, and an observable sign that work organization has changed. Avoid turning a collective difficulty into individual wellbeing advice. ## A feedback template for employees Use this outline in a meeting or message. Replace the brackets with verified information and omit any section that could expose an individual. > **What we asked** — [survey purpose, scope, and period]. > > **What responses indicate** — [descriptive finding], for [basis and scope]. The findings describe the responses collected; they may not represent every situation. > > **What we still need to understand** — [question or disagreement], which we will check through [discussion, observation, or another data source]. > > **What we have decided** — [concrete action], owned by [role or team], with a review planned for [date or milestone]. > > **What we are not taking forward now** — [proposal not selected], because [reason]. We will reconsider it if [observable condition]. > > **How we will update you** — [channel and time of next update]. Fictional example: “Several responses mention priorities changing during the week. We cannot infer that every team faces the same difficulty. The leadership team will try a weekly prioritization check for one month; we will then ask whether conflicting instructions are easier to resolve.” A useful update also explains what will not be done and why. If an action depends on legal, safety, or resource constraints, state that plainly and say what remains possible. A feedback loop does not guarantee improvement; it makes decisions and their review visible. ## Move from a survey to better work Topics may concern workload and pace, priorities and room to act, tools, cooperation, or recognition. These are prompts for discussion, not a framework for diagnosing people. For a health or occupational-risk issue, involve the relevant specialists and follow an appropriate prevention process. After setting collection and access rules, you can [review written responses and their source excerpts in Harmate’s Open Questions workflow](/en/product/open-questions). The workflow helps examine written responses and select excerpts; it does not determine truth, representativeness, or which actions to choose. A QWL effort starts with a specific question about work, listens to possible explanations, and reports back to employees with decisions and unresolved points. The survey is a starting point for that dialogue, not its final verdict.