Evaluate the quality of your survey responses with AI
qualityScore
field is deprecated and will be removed in a future
release. Please use demeritScore
instead. The demeritScore
provides the
same information but with a more intuitive scale - higher scores indicate
lower quality responses.Inconsistency
: how inconsistent a respondent is across multiple responses. Higher scores indicate more contradictions and inconsistencies in the responses.Nonsense
: how coherent and logical the response itself is. (ie, gibberish, troll responses, etc.)Relevance
: how pertinent the response is to the question.Low-effort
: how much effort was put into the response. (length, specific details, etc.)Llm-generated
: how likely the response is to be AI or LLM generated.Self-duplication
: how similar a particular answer is to previous answers in the same survey response.Shared-duplication
: how similar the response is to other responses for a particular question across respondents. Duplicates can be found in the data quality console in the platform.
Keystroke-issues
: a higher score indicates suspicious non-human keystroke patterns. See Keystroke event collection for more information.Honeypot
: a higher score indicates that the respondant has likely fallen for the honeypot phrase. See Honeypot detection for more information.total keystrokes
: the total number of keystrokes in the responseaverage hold time
: the average time a key is held down forhold time standard deviation
: the standard deviation of the hold time of each keyaverage digraph delay
: the average time between digraphs (two-character combinations)digraph delay standard deviation
: the standard deviation of the time between digraphsdigraph delay p90
: the 90th percentile of the time between digraphspause ratio
: the ratio of pause to keystroke eventskeystroke-issues
score from 0-100. See these metrics in the data quality console in the platform.
To get started, see the Events API documentation.
responseIdentifier
field.
It helps to prepend random_
to the response identifier to make it easier to identify.
Already generated responses and want to retroactively add response identifiers? Reach out to support@getaftercare.com and we’ll be happy to help. We’re adding a feature to allow you to add response identifiers to existing responses in the platform soon.
honeypot phrase
to the data quality API and Aftercare will detect if a respondent has fallen for the honeypot phrase. See the Data Quality API documentation for more information.
survey ID
, question ID
, and response ID
will help tie together responses across respondents.
Doing so will provide a more accurate assessment of the quality of your responses.