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Closing the gender data gap on unpaid care and domestic work to support monitoring the 2030 Agenda - Final evaluation

eval_number:

3649

eval_url:

https://webapps.ilo.org/ievaldiscovery/eval/3649

lessons_learned:

themes:

theme:

Data collection & analysis

category:

Organizational issues

---

comments:

NSOs.

challenges:

In the case of the project, the extra resources needed at STATISTICS for ensuring the uptake of the time use module were not considered in the Theory of Change. The full-time position created for the development and testing of the module was supposed to end with the project, which would have jeopardized the effectiveness of the project at outcome level. This put strain on STATISTICS’s resource management.

success:

ILO staff is highly committed to fostering modules’ uptake by countries.

context:

The development and integration into global guidance of modules like the time use module is an efficient one-time undertaking, with possible adaptations based on learning afterwards. However, their wide uptake depends on STATISTICS’s capacities (staff time and expertise) to support them in collaboration with partners, and to raise awareness and interest in the long run. Modules pertain to different thematic fields adjacent to work such as labour migration, occupational injuries, barriers to employment or volunteer work. Each field potentially brings a different ecosystem to engage with for coherent mainstreaming, which requires additional staff time. It is thus reasonable to assume that the more topical modules STATISTICS offers as part of its LFS system, the more awareness-raising, support and coordination activities it is engaged in and the more resources it takes to ensure their upscaling in the longer run (despite possible synergies).

description:

Mainstreaming LFS modules such as the time use module requires dedicated activities and adequate resources. In the case of “Closing the Gender Data Gap”, these were not planned in the project budget.

administrative_issues:

Because of the numerous synergies between the labour-related topics, the amount of resources (staff time and field-specific expertise) needed at STATISTICS to ensure mainstreaming of topical modules will arguably not be multiplied by the number of modules developed. Yet it is likely to increase with each new topic.

url:

https://webapps.ilo.org/ievaldiscovery/lessons/202322

---

location:

country:

Inter-Regional

region:

Inter-Regional

---

eval_title:

Closing the gender data gap on unpaid care and domestic work to support monitoring the 2030 Agenda - Final evaluation