Did you design and implement an equitable, outcomes, and impact-focused analysis or evaluation? Choose a completed project, and take the assessment! This will take 10-15 minutes to complete.
1. The goals and objectives are clearly defined and SMART (specific, measurable, achievable, relevant, time-bound).
A.
Agree
B.
Disagree
2.
2. Potential risk or harms to the participants and communities have been identified and considered.
A.
Agree
B.
Disagree
3.
3. An Equity-informed framework influenced project design. (e.g. guides developed by organizations (i.e. CDC, We All Count, OECD) to inform data, evaluation, and policy planning and implementation)
A.
Agree
B.
Disagree
4.
4. Data sources (e.g., documents, datasets, etc.) have been selected and biases have been identified.
A.
Agree
B.
Disagree
5.
5. Quantitative indicators that assess health equity (e.g. demographics, social determinants of health) have been standardized and reviewed for appropriateness to the context of the analysis and population of interest.
A.
Agree
B.
Disagree
6.
6. Qualitative indicators that assess health equity (e.g. access to services, lived experience) have been tailored and reviewed for appropriateness to the context of the analysis and population of interest.
A.
Agree
B.
Disagree
7.
7. The order and scope of collecting quantitative and qualitative data was designed to establish a representative sample population.
A.
Agree
B.
Disagree
8.
8. Data collection and evaluation processes are adaptive and responsive to the needs of diverse communities.
A.
Agree
B.
Disagree
9.
9. The evaluation process challenges biased assumptions or perceived notions about the community.
A.
Agree
B.
Disagree
10.
10. The barriers to ongoing adaptation to data collection and evaluation processes have been identified.
A.
Agree
B.
Disagree
11.
11 .The sample accurately represents the demographic composition of your target population, particularly those who are historically marginalized.
A.
Agree
B.
Disagree
12.
12. Barriers that might prevent certain groups from being included have been identified.
A.
Agree
B.
Disagree
13.
13. Community-led data validation has been incorporated into your processes to ensure that findings authentically reflect lived experiences.
A.
Agree
B.
Disagree
14.
14. The insights examine findings, which are disaggregated by indicators that assess health equity (e.g. demographics, social determinants of health, lived experience) in your target population.
A.
Agree
B.
Disagree
15.
15. Systemic factors that influence individual and community-level outcomes are explicitly acknowledged when presenting results.
A.
Agree
B.
Disagree
16.
16. Data visualizations follow recommended best practices for decision-making and accessibility (e.g., appropriate font, readable size, sufficient contrast and separation, data labels, annotations, colorblind safe palette).
A.
Agree
B.
Disagree
C.
Not Applicable
17.
17. The level of detail, length, and amount of technical language is appropriate for the intended audience.
A.
Agree
B.
Disagree
18.
18. Insights and key takeaways acknowledge missing data and other potential limitations.
A.
Agree
B.
Disagree
19.
19. Opportunities that promote authentic participation from all collaborators, particularly those most affected by the topic, have been included.
A.
Agree
B.
Disagree
20.
20. Strategies have been created to share findings with community members in ways that are accessible, empowering, and easy to understand.
A.
Agree
B.
Disagree
21.
21. Solutions to programmatic challenges were created in partnership with with staff, community members, and key collaborators.
A.
Agree
B.
Disagree
22.
22. The solutions provided have clear steps, timelines, estimated resource needs, and a point of contact for realistic implementation.
A.
Agree
B.
Disagree
23.
23. The goal of the analysis or evaluation (e.g., assess needs, intended outcome, impact, efficiency, or effectiveness) is clearly measured.
A.
Agree
B.
Disagree
24.
24. There is a process in place for continuous improvement of the solutions.
Equity is becoming a clear theme in your analysis!You've got the core elements in place but there's room for improvement to connect the dots to refine your data story.
