During a survey, no matter how hard we try, we will get data errors. Date errors, Wrong gender, Spelling mistakes etc. Most of the times, these error are easily corrected without the need to contact the respondent again. But the process needed to be followed to make this correction is tedious. We need to reject the interview to a supervisor, who rejects it to the interviewer. Then they have to follow-up with the interviewer to ensure they make the required change in the form. This takes up time and effort for a problem that could be easily solved at supervisor or HQ level.
For many such errors, we ignore them and plan to correct it during data cleaning (which can only start after the collection is complete). This has its own problems. Sometimes the error correction will get skipped (the supervisor forgot to note the error). This also makes data cleaning tedious.
I propose a Data Cleaning step where the HQ (or a new Data Cleaning user) is able to correct these errors on the go and the final data out of Survey Solution is cleaner. Cleaning data as a parallel process with data collection is much more efficient.
I understand that this may be considered beyond the scope of a survey management tool, but the transition between the survey tool and the data management tool should be facilitated. This greatly helps with the work flow and saves time.
I believe such a request has been made earlier also for the ability to alter/change responses using API.