Driver analysis

Driver analysis in workforce employee surveys helps identify which factors have the biggest impact on employee satisfaction and performance. The purpose of driver analysis is to find the correlation between two variables, which can be markers, building blocks, or independent questions within the survey. By analysing these correlations, organisations can determine what matters most to employees, like management support or work-life balance, and focus on improving these areas to boost overall engagement and productivity.

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• To set up Driver Analysis users can navigate from the survey >> analytics >> Employee experience
• Click “Add Widget”



• Select Driver Analysis Widget



• In the widget pop-up, add a title, select the survey, and choose the questions. In the columns, pick the “Drivers” to find which ones have the strongest correlations affecting each other in the study. Then click on “Add widget”



• The Driver Analysis widget on the Dashboard displays survey questions in rows on the left, categorised into markers and building blocks. On the right, columns show the drivers you want to analyse to find the highest correlations with those survey questions.
• Expanding a “Marker” shows how the broader idea is broken down into detailed parts (Building Blocks), leading to the exact survey questions
• When you expand the building blocks, you’ll see the specific questions that were asked to collect the data.

Scores under the driver reflect how strongly employees agree or disagree with each question related to that driver. Each score shows the level of agreement with statements about different aspects of the onboarding process. In QuestionPro “Lower” scores indicate more positive responses, while “Higher “scores suggest areas needing improvement. Analysing these scores helps identify which parts of the onboarding process are most effective and which need enhancement.

• For example: Understanding the Key Factors Influencing Employee Engagement and Satisfaction During Onboarding
• This topic helps you see how different stages of onboarding affect employee satisfaction, engagement, and long-term commitment. By analysing responses from these stages, you can identify what drives negative outcomes.

As I want to know key drivers impacting my employee experience from day one to the first 100 days. Main Drivers are:

• Day One
• First 100 Days

• Under Driver 'Day One,' we see that the highest score of (0.85) correlates with the 'Marker' on the right, which is “First 100 Days”.



• Clicking the dropdown next to 'First 100' reveals detailed information of the building block”. The highest score of (0.76) links to the “Integration” block.

• By expanding the Building Block 'Integration,' we identify the exact survey question that correlates with the highest score of (0.66): 'People went out of their way to make me feel part of the team.' This score indicates that employees disagreed with this statement, suggesting they felt people at the company did not make them feel welcomed into the team. Since “Day One”

Driver “First 100 days” Study (Survey Sent to same employees after the 1st 100 days of their joining.)

• Let’s assume the company chose not to act on the findings and decided to let things continue as they were.
• Under Driver 'First 100 Days' we see that the highest score of (0.85) correlates with the 'Marker' on the right, which is “Engagement”
• Clicking the dropdown next to “Engagement” reveals details of the building block. The highest score of (0.77) links to the “Sentiment” block.
“First 100 days” Outcome:
• By expanding the Building Block “Sentiment”, we identify the exact survey question that correlates with the highest score of 0.73 “I’m satisfied with the on boarding process” This score indicates that employees disagreed with this statement, suggesting they felt dissatisfied with the onboarding process which directly relates to the Day one experience.
Summary of Driver Analysis Outcomes:

The driver analysis shows that employees felt unwelcome on their first day, leading to dissatisfaction with the entire onboarding process in their first 100 days. This suggests that a negative Day One experience affects how employees view their onboarding overall. Employers should focus on improving these areas to enhance onboarding and employee satisfaction.

• Click on the kebab menu (Three-dots) >> Select “Edit Widget”
• Add a title.
• Select the survey.
• Choose the deployments.
• In the “Items” section, select all questions except the eNPS questions.
• In the Columns section, add only the eNPS question from the dropdown.
• Here the eNPS result shows us the highest score of (0.08) that correlates with the 'Marker' on the right, which is “Miscellaneous”.
• Click the dropdown next to the “Miscellaneous” marker to see detailed information about the building block. The highest score of (0.1) is linked to the “Familiarity” block on the right.
• Expanding the "Familiarity" Building Block reveals the survey question with the highest score of (0.09): "Our CEO knows who I am." This score shows employees disagreed with the statement, suggesting they felt the CEO did not know them.
• With these results, we now understand the key factor affecting the company’s eNPS scores.
• To edit, duplicate, delete, or filter the widget, click on the three dots (kebab menu)
• Users can export in PDF or Excel format select Export and the choose Export Excel or PDF

Note: Driver analysis widget supports only matrix questions for analysis