Three Advanced Options To Refine A Digital Self-Diagnosis

The questions self-diagnosis module completes the questionnaire-pro software platform and allows you to immediately provide an assessment based on the answers to the questionnaire. Module settings options are presented here.

The digital self-diagnosis module backed by the questionnaire-pro survey platform instantly provides a person who has completed an online questionnaire with individualized feedback based on a configurable scoring model.

In its most common version, the digital diagnosis consists of a radar graph showing the respondent’s scores on each axis of analysis and detailed comments related to the score obtained on each axis. Today, I present to you options that can prove to be very useful because they make it possible to refine the restitution obtained by the respondent or to define the conditions under which the diagnosis can be validly produced:

1. Define a threshold of acceptability of the answers given to the questionnaire, which triggers the display or not of the diagnosis
2. Configure an overall score to display in the diagnosis (simple or weighted, several display modes)
3. Display or not specific axes of analysis according to the answers obtained

Define An Acceptability Threshold For The Answers Given To The Questionnaire

The acceptability threshold is an indicator of the quality of the responses provided by the respondent. He is the designer of the self-diagnostic questionnaire who defines this threshold.

If the respondent reaches or exceeds the threshold, he automatically obtains his self-diagnosis after answering the questionnaire (usual case). Suppose the respondent does not reach the threshold. In that case, it is a sign that their answers do not present sufficient quality to generate a self-diagnosis; therefore, editing is not authorized. 

Instead, a message is displayed associated with the rejection of the questionnaire intended to explain why the diagnosis is not obtained. What is the threshold of acceptability used for? The main objective is to avoid providing an irrelevant or invalid diagnosis based on poor-quality responses or responses characteristic of a respondent who is off-target or still insufficiently qualified to respond.

How does the diagnostic designer define this threshold? All you have to do is select the response items that denote poor quality and determine the point of “suspicious” responses from which the questionnaire is rejected:

1. Too many Need to know or Not concerned answers.
2. one (or more) eliminatory answer(s)

For example, if the diagnosis is reserved for professionals and the respondent turns out to be an individual, it can be prevented from being displayed.

Configure An Overall Score To Display In The Diagnosis

Depending on the nature of digital self-diagnoses, presenting an overall score in the restitution to the respondent can be very relevant, useless, or even meaningless. In the tool that we propose, the choice belongs to the designer of the self-diagnosis questionnaire:

1. the overall score may or may not be displayed in the restitution provided to the respondent,
2. this score can be presented as a sum of the points obtained for each of the axes analyzed or as an average out of 10, out of 20, out of 100,
3. different weights can be assigned to overweight specific categories compared to others (some skills are more important than others, to use the previous example).

Whether Or Not To Display Specific Axes Of Analysis According To The Answers Obtained

First of all, let us specify that in the terminology that we adopt a Question, each axis of the radar graph presented to the respondent corresponds to a category of the scoring model. A class is an area or theme addressed in one or more questions of the self-diagnostic questionnaire, this theme is the subject of an evaluation (weighting system), and the score achieved is displayed in the feedback to the respondent.

ALSO READ: Discover the nine main Metaverse Currencies And Learn How To Invest In Them!