Raw Data Extracts

What is a raw data extract?

A full raw data extract is a file of survey results in its simplest form, containing details about each respondent (including their identifying email or employee ID and their answers for all questions (including comments). Sometimes people are after a little less information but the combination of demographics associated with a response can still make individuals easily identifiable (we might call that medium rare data but confidentiality is still a concern). For that reason we need to carefully consider whether we need this level of data before we launch a survey. If the Raw Data Extra option is enabled on your survey prior to launch, we will automatically insert the required warnings for participants. Some example communications are discussed here.

Why would I want a raw data extract for my survey?

Raw data extracts can be a powerful data source if utilized by the right people, such as a data scientist or an analytical people geek. Some teams find this useful if they wish to store their survey data in a data warehouse. We won’t stop you from building your survey in this manner, especially if you have a plan for linking this data to other data sets for research purposes.

Will a raw data extract for a survey work in my organization?

Maybe. One of Culture Amp’s strengths is that we store survey data in a secure environment. Survey takers can submit answers without fear of anybody internally accessing their results. By building a survey for raw data extracts, you are asking your workforce to relinquish this feeling of complete security. If you are going to ask for a raw data extract:

  • Required: Enable the Raw Data Extract checkbox in the Survey Configuration before launch. We will not provide raw data extracts unless you warn people with the appropriate messaging
  • Strongly encouraged: In pre-launch communication, we strongly encourage you to describe your methodology and explain why you will be analyzing their results in a manner where select individuals can view raw results. Since there’s no way to hide your intent, it’s best to proactively address their concerns.

Consider the survey taker: Will they still give completely honest feedback? Do they trust me to use their feedback for good, not evil?

Ideally your survey respondents will answer the survey exactly the same as they would if their results were completely anonymous. Think about it: if survey respondents would change their answer, are they being honest? Or are they sugarcoating their answer in fear of possible retribution?

Implementing a fully transparent survey requires a great deal of trust from your workforce. If you don’t have this trust, you risk getting a low participation rate (survey takers not responding), or worse, you risk undermining the integrity of the whole process (survey takers giving fake answers). We believe data quality is paramount, after all you’re going to make decisions based on this data, right?

Reach out to if you have any questions.

See also

Was this article helpful?
0 out of 0 found this helpful
Have more questions? Submit a request