implementation insights (i2)
implementation insights (i2) are a new type of product to codify implementation evidence.
These insights combine the rigour of research with the practicality of implementation. The goal is to ensure that insights from implementation get credibly captured and circulated to build a more comprehensive and cohesive evidence ecosystem.
The need for implementation insights (i2)
Codifying and sharing insights from implementation remains a challenge.
Implementation is fast-moving and ever-evolving. Implementers rarely have the time, space, or incentive to systematically capture and share lessons learned from their rich experience and in-house data collection efforts.
In contrast, researchers often have the time, space and incentive to codify and share lessons learned through in-depth documentation. Yet, research is often produced over longer timelines and can be disconnected from the day-to-day realities of implementation, limiting its relevance for practitioners.
This creates a gap: implementation generates rich, real-time learning, but much of it remains uncaptured, while formal research, though rigorously codified, is not always timely or grounded in the realities of implementation.
We aim to bridge this gap through implementation insights (i2).
implementation insights (i2)
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About implementation insights (i2)
Created in partnership with Youth Impact, implementation insights (i2) aim to present rigorous results, presented succinctly and visually to inform real-time decision-making.
Two types of implementation insights
We introduce two main typologies of implementation insights: experimentation and estimation. Each focuses on capturing data-driven insights.
The first category – experimentation – captures lessons generated through more formal experimental research techniques (such as quasi-experiments or iterative A/B testing) embedded within ongoing implementation. This category of insights could also help capture insights from traditional randomised trials, either by researchers or implementers, when findings are highly relevant for practice but might take too long to document in a full research paper.
The second category – estimation – refers to measurement lessons. Rather than testing interventions, this category focuses on analysing patterns and metrics that inform credible and practical measurement using monitoring data which matters for downstream outcomes.
For more information about the structure of implementation insights, see our blog post introducing implementation insights.
The What Works Hub for Global Education is funded by the FCDO and the Gates Foundation, with other strategic partners aligning resources and providing in-kind support.
The What Works Hub for Global Education is funded by the FCDO and the Gates Foundation, with other strategic partners aligning resources and providing in-kind support.
The What Works Hub for Global Education is funded by the FCDO and the Gates Foundation, with other strategic partners aligning resources and providing in-kind support.
The What Works Hub for Global Education is funded by the FCDO and the Gates Foundation, with other strategic partners aligning resources and providing in-kind support.