Well done on completing this course. Here is a summary of the key ideas from the course. We encourage you to discuss what you have learnt with your team.
Areas of exploration:
What do you know now that you did not know before?
What are you doing now that you weren’t doing before?
How are you feeling differently than you were feeling before?
Some hints in designing a survey:
- Ask about them, not you
- Design one item for each outside-triangle indicator
- Ask about change
- Add an attribution
- Add a couple of demographic questions
- Keep your survey as simple as possible
Here are the 3 ways to construct an item for a survey again:
Forced choice questions. A yes/no question can provide some helpful data, especially when asking if someone has done something or not.
Scaled questions. To understand the degree to which an impact has happened, design an item with response options on a scale, like none, a little, some, quite a bit, and very much.
Number questions. To get a number on a response, ask a question about a number, like “How many more times have you done something? How many more people have you contacted? How many more steps have you taken?”
These are some simple steps to take when you look at your survey data:
Look at your high and low means
You can learn quite a bit simply from seeing where you are strongest and weakest in the averages for each of your items.
Look at the distribution of the responses
Sometimes, the most interesting insight can be gained from analysing how many people (or what percentage of people) selected each response option.
Look at the differences in the demographic disaggregation of the data
If you asked a demographic question, separate the data based on the demographic identifiers and compare and contrast them to see if there are differences in the experience of impact between segments of your demographic.
Identify the insights from the survey data (prove and improve).
Identify the most significant learnings or discoveries from the survey data. Those are your findings.
There are typically four ways your quantitative data can be integrated with your qualitative data:
1. Quantitative data corroborates qualitative data.
In this case, insert your quantitative discussion and visualization into your qualitative discussion within the same finding.
2. Quantitative data extends the qualitative data.
In this case, use the quantitative data to add dimension and substance to your qualitative discussion to enhance and extend the ideas of your qualitative data.
3. Quantitative data provides a new insight.
In this case, add an additional finding to your evaluation that is solely based on quantitative data, since you have no qualitative data on this finding.
4. Quantitative data seems to contradict qualitative data.
In this case, discuss the apart contradiction and provide initial hypotheses about why there might be an apparent contradiction.
- How will capturing quantitative data help your organisation measure its impact?
- To capture quantitative data, what action steps do you need to take?