Professionals Using Gained Knowledge/ Skills

The indicator assesses the number of professionals working within the social protection system who have acquired new skills/ knowledge from the provided assistance and apply it in their work.

Collect the following data by conducting individual interviews with a representative sample of the supported professionals:

RECOMMENDED SURVEY QUESTIONS (Q) AND POSSIBLE ANSWERS (A)
Q1: Did you gain from [specify the provided assistance] any specific knowledge or skills which you use in your work?

A1: yes / no

(ask the following question only if the previous answer is YES)

Q2: Can you please tell me all the specific knowledge or skills you gained from the [specify the provided assistance] and use in your work?

A2: pre-define a list of the desired knowledge/skills (include also option “other – specify: …………………”)

Probe: Did you gain any other knowledge or skills that you currently use in your work?

(the following question is recommended but not mandatory)

Q3: When did you last used the [specify the knowledge / skill mentioned as an answer to question Q2]?

A3:

1) ........ [choose: days / weeks / months] ago

2) does not remember

Repeat Q3 for all the knowledge/skills listed as a response to Q2. 

Calculate the indicator’s value (in percentages) by dividing the number of professionals using any of the gained knowledge/ skills in their work by the total number of interviewed professionals and multiplying the result by 100.

1) Since using only one piece of knowledge/ skill might be a relatively poor result, considering setting a minimum number/ type of the gained knowledge/ skills which the professional has to use in her/his work in order to be considered as “using newly acquired knowledge/ skills”.

2) When asking about frequency, it is recommended to use the phrase "When did you last ... ?" as opposed to the question "How often did you ... ?". While it is possible that, for example, a person used a certain skill yesterday but normally s/he uses it only once per year, in the total sample of your respondents, such 'accidental' facts cancel each other out and you gain more reliable frequency data than you would get if you had asked "How often ...?".