Everyone wants to work smarter and do more, faster. They think the problem is lack of time, or lack of money to build amazing systems to save time, but really the problem is poor interoperability.
You collect data from the field. It has errors that you must review and fix manually. Then you find you need to change formats from the collecting system to the analysis system, and you edit it again. All the while, this takes time and obfuscates the process. Five years later, will anyone else in your organization know what you did, or how you did it?
Instead, if you used the feedback commons, we would integrate all of these steps in a way that saves you time and increases the power of your data by making it easily exportable and machine readable by a variety of systems. It's just something extra you get because we needed to solve this problem in order to build benchmarks for all the non-profit organizations we serve.
When collecting feedback and survey data, you can combine paper with digital methods to get responses from all your constituent groups.
With paper, just take photos of the pages and send the images through our system. It is much, much cheaper to let others transcribe it for you. Too often, we find managers who make $15 ot $30 an hour doing the work that transcribers can do for pennies because they're not thinking about how to scale up the listening system.
If you have past surveys or excel spreadsheets (legacy data), import it and merge it with new data in the commons. We'll make it happen, and you will get more from the listening you've done. Your past is a baseline you can use to measure progress in your work.
Use unstructured data
csv files, excel spreadsheets, old papers to be scanned, auto recordings
Import from other survey platforms
Use mobile phone text messages (SMS), smart phones, or tables as sources
Analyze here or export to other platforms
BigML, SPSS, SAS, EXCEL...