Most organisations will have 2 reporting
needs:
- HR must know the common themes affecting join, stay and
resign behaviours and
- The management team must know which strategies and
policies you want to change to improve retention as a result
Data collation
Open-ended questions results in better
quality data. However, these types of questions also present challenges in
collation. A number of options are set
out below.
Remember, we’re doing exit interviews so
that retention solutions become obvious!
Approximately 20 interviews are needed before the major themes
are able to be established.
There are at least 5 relatively simple
ways to collate data.
Option 1: Question by question
Open-ended questions such as ‘What
attracted you to the organisation?’ can be collated question by question. For
example, gather all interviews and collect all responses to the first question.
Review all responses to determine the main themes relating to that question.
Then repeat that approach for each remaining question.
Option 2: To support an intervention
Collect all responses for questions that
will guide a particular intervention. For example, if the organisation wants to
test its employer branding, collate questions relating to why employees joined
the organisation and what they would tell their friends. If the organisation
wants to review its manager’s effectiveness, use the responses to any
manager-related questions to guide those decisions.
Option 3: High value employees
Another collation alternative is to
isolate interviews from key employee groups. For example, say you really needed
to retain your sales people. Isolate all interviews from former sales people to
determine issues affecting those employees. This approach works best when there
are more than 10 respondents in a group, as fewer respondents means that common
themes will not emerge.
Option 4: Demographic analysis
The demographic questions lend
themselves to easier data collation and analysis. Demographic questions are
those at the conclusion of the questionnaire which collect information about
age, gender, location and so on.
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