1. Accessing results: statuses and actions
You find results per survey under Surveys in the left-hand navigation panel. For any survey with status Active or Closed, you can navigate to the results via the action menu (on the right). You don’t need to wait until a survey is closed — if the survey is still active, a disclaimer appears at the top indicating that these are interim results.2. The overview page
When you open the results, you first see an overview page with:- Title, status, and company name
- Target — the expected number of respondents, set when the survey was created. Only used to calculate the response rate (not as a maximum). The target can be adjusted by moving the survey back to draft via the action menu.
- Response rate — the number of completed surveys divided by the target.
Performance overview chart
Below the basic details is a chart that summarizes the entire survey. The first column shows the score across the whole organization, per module. The remaining columns break the score down per socio-demographic group, so you can compare at a glance. You can filter the chart’s rows, and hover any score to see a tooltip with the exact score and benchmark comparison. Export the chart itself as a CSV alongside the raw-data export described in §9.In the results dashboard, scores are only shown grouped across respondents. When setting up a survey, you can configure the minimum groupsize. For socio-demographic categories with fewer respondents than this minimum, scores are not shown separately. These respondents are still included in the score calculations for the group as a whole.
3. Structure, scores, and benchmarks
The platform works with up to three levels:How are scores calculated?
We rescale all questions that use a response scale to a uniform scale running from 0 to 100, using a simple linear transformation. This ensures that all questions, modules, and KPIs can be interpreted in the same way, regardless of the scale they were originally measured on. Example for a question with 5 answer options:
A score of 73/100 doesn’t mean that 73% of people scored well — it means the average answer falls at that position on the scale. The module score is the average of the individual question scores. The KPI score is the average of its underlying module scores.
How to interpret module and KPI scores
A higher score means that there is “more” of that construct. Some examples:- A higher score on Job Satisfaction means respondents are more satisfied.
- A higher score on Burnout means respondents have more burn-out indications — a worse result, not a better one.
WPS (Wenite Performance Score)
The WPS, or Wenite Performance Score, tells you how good or bad an obtained score is relative to the chosen benchmark. A positive WPS means the score is better than the benchmark; a negative WPS means it’s worse. With the WPS, positive always means “better” — even for negatively-framed constructs like Burnout. The WPS color indicates whether the difference is relevant.Color codes
Benchmarks
Wenite offers four benchmark types, three of which can be enabled on an individual survey (see the Creating a Survey guide):Statistical significance
When a score has a dot as superscript, this means the difference with the benchmark is statistically significant. Wenite uses a Bayesian framework for this: Bayes Factors are calculated, and a score is labeled significant when the Bayes Factor is greater than 3. In practice: the dot shows that we can say, with reasonable statistical certainty, that this score genuinely differs from the benchmark rather than being due to chance. This certainty is driven both by the absolute difference and by the number of respondents.4. Filters
At the top of the dashboard, you can set filters based on the socio-demographic questions asked (e.g. Location or Department). When you activate a filter, all scores shown reflect only that selection. Combined with the company benchmark, this becomes especially powerful — letting you easily compare a filtered group’s score against the rest of the respondents.5. Module tab
For each module, you see:- Number of respondents
- WPS score with benchmark comparison
- Distribution of responses (histogram)
- Group differences per socio-demographic question
- The underlying questions with their answer distribution
6. KPI tab
The KPI tab contains the same information as the module tab, at a higher level. It also shows the underlying modules per KPI (if KPIs were used in the survey). The same pin, grid/list view, and filter/sort options are available here too.7. Questions tab
On the Questions tab, you can view the answer distribution for each individual question. You can filter by question type: single-choice, open questions, or multi-choice (where available). For open answers, the main themes are automatically summarized and classified (as positive, negative, or neutral) by an AI model. This happens once the survey is closed.8. Insights tab
The Insights tab is most relevant when you use Wenite’s scientifically validated item library. Here you find advanced analyses that go beyond the basic scores.Focus Areas
The Focus Areas view shows how job stressors and job resources influence organizational outcomes such as job satisfaction or employee recommendation. Impact is quantified using regression coefficients. Hover over the dots on the chart to see which predictor has the greatest impact and what the recommended action is.Predictive insights
Certain KPIs in Wenite can be used to make predictions about relevant outcome measures that were not directly measured. Currently:- Job Stressors can be measured to predict Burnout
- Job Resources can be measured to predict Engagement
9. Exporting data
The export function lets you download the raw results per respondent as an Excel file. Each respondent appears as a row with all their scores. Respondents are anonymized (numbered), but you do see their individual answers, including open answers. For the dashboard views themselves (not the raw data), use your browser’s print function to export a page as PDF — this captures whatever chart, filter, and benchmark selection is currently on screen.Based on individual answers, it is sometimes possible to identify certain respondents. It’s important to safeguard respondent anonymity. This export does not include the groupsize checks that apply in the results dashboard. If you give a client access to the dashboard, you can disable the export function so they cannot access individual answers.
10. AI integrations
Throughout the results dashboard, you’ll find purple buttons — these indicate AI-powered functionality. This is one of the fastest ways to turn raw scores into something a client can actually read, so it’s worth knowing all four touchpoints exist, not just the one you happen to click first:AI functionality runs in a closed environment: data never leaves the Wenite system. Every AI model’s output passes through additional review layers. If anything looks off, contact support@wenite.io.
Recommended workflow for results analysis
- Start on the overview page — Check whether the response rate and the distribution of socio-demographic answers match expectations.
- Set the right benchmark and filters — The Wenite benchmark is usually the most valuable. If unavailable, use the Standard benchmark (comparison against the middle of the scale). The Company benchmark is most valuable when combined with filters.
- Pull out the most striking insights from the performance overview table — Look at which scores stand out (strong deviations, red/green), both across the whole organization and across the different socio-demographic groups.
- Go to the KPI and/or module tab to zoom in — Review the underlying questions, the spread of scores, and the group differences.
- Go to the questions tab to zoom in on specific questions — Review extra questions outside modules and the summaries of open questions.
- Use the AI features — The Executive Summary gives a clean overview of the entire survey on a single page.
- Export the results for further analysis — Use the export button for scores and open answers per respondent.
- Need something more tailored? — See the Custom Reporting guide for group reports and individual respondent reports.
If no results are shown for a particular group of respondents, this is because there aren’t enough respondents to meet the minimum groupsize configured when the survey was created.