What can I learn from this page?
A guide to analyzing Inclusion survey results
Who is this guide for?
Account Admins, Survey Admins, Survey Creators
Anchored in Engagement - but with a different approach
We anchored the survey items in the Diversity and Inclusion Survey around inclusion; because we have decades of academic convergence showing that engagement ties to business outcomes. Culture Amp administrators will quickly recognize that the survey dashboard looks similar to the Engagement dashboard. While the mechanisms for analyzing the results are similar, the method and approach are slightly different.
A popular approach:
1. Participation tab: Look at participation by each demographic group and ask: are there any groups who participated at a low rate and are thus underrepresented in the data?
2. Insight tab: Use the Insight tab to look at the 30,000 foot view of your results. Begin to identify a few hypotheses you'd like to explore as you dig further into the results. Maybe one of the factors stands out to you as the lowest overall, or lowest compared to the benchmark. Maybe one of the top 5 questions impacting engagement for your organization surprises you.
3. Questions tab: There's a lot to dig into on the Questions tab:
Look at the favorability scores for each question (i.e. the breakdown of favorable, neutral, and unfavorable): did you score significantly higher or lower on any items than you anticipated?
Look at each question's comparison to the benchmark: where did you score at least 5 points above benchmark or below benchmark?
Using the Impact Analysis and the Focus Agent filters, click into a few questions and go a little deeper. Explore the spread of scores by demographic - you will likely notice that, like engagement, your scores and culture are not evenly distributed. You will have pockets of high scores and low scores on a single question.
4. Heatmap tab: Go through every demographic option in the dropdown. Pay attention to where disparities exist among each demographic group. Gender is a common place to start. Ask yourself - is one gender scoring higher than others by a large, statistically meaningful margin (which the colors can help you identify)? What about on race/ethnicity lines? Are these disparities happening on questions that were identified as high impact from the Questions tab? Are the sizes of these groups vastly different?
5. Custom tab: Explore how intersecting identities experience specific topics differently by creating intersectional data lines. For example, consider creating a data line for "Women of Color" using a combination of Gender Identity and Race/Ethnicity. What other intersectional identities could you compare their experience to? What other demographic groups are critical to your workforce that you want to explore? How are these populations scoring on high impact questions?
6. Text Analytics: Explore the questions that have piqued your interest throughout this process. Read comments to get more context and color as to why people feel positively or negatively about that topic.
7. Action Framework: Once you have identified the questions you would like to take action on, flag them on the Questions tab in the left hand column. This will activate them on the "Take Action" tab on the left hand side, which will provide you with suggested inspirations, nudges and interventions, powered by Collective Intelligence. (If you don't see the "Take Action" tab, email us at firstname.lastname@example.org so we can activate it!)