Working with micro-narratives for monitoring, evaluation and decision-making in complex systems: A demonstration of the SenseMaker approach
Session Number: 1915
Track: Systems in Evaluation
Session Type: Demonstration
Tags: complexity, monitoring & evaluation, SenseMaker
First Author or Discussion Group Leader: Steff G.M. Deprez [Co-founder - Voices That Count ]
Second Author or Discussion Group Leader: Anna Hanchar [Co-founder - The data atelier]
Time: Nov 01, 2018 (02:45 PM - 03:30 PM)
Room: Hilton - Veterans Meeting Room C
Audience Level: Intermediate
Session Abstract (150 words):
SenseMaker is a narrative-based monitoring, evaluation and decision-making approach guiding interventions in complex systems. It is based on the collection of large numbers of micro-narratives that are self-indexed by storytellers. Respondents carry out a primary assessment of their own stories, reducing the bias of external analysts. The indexing of the stories allows for quantitative and visual pattern analysis with direct access to the explanatory narratives.
In this session, we will demonstrate how SenseMaker works in practice. After a brief presentation of the design steps and the data collection process, we will showcase how SenseMaker has been applied in various projects and for different purposes. There will be a particular focus on how basic/advanced pattern analysis (using SenseMaker or third-party software) in combination with narrative analysis supports planning, monitoring and decision-making. Furthermore, we will share how participatory analysis and collective interpretation of SenseMaker data is organised with program teams, partners and beneficiaries.
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