A Landscape Analysis outlines the strengths, resources, and needs of a particular community. It provides a framework for designing a service and ensuring that it is embedded directly in the needs of the community.
While tutoring programs vary greatly in the content that is focused on during sessions, tutors should have a standards-aligned, rigorous, and grade-level appropriate curriculum to use during sessions. Having an established curriculum for tutors to follow ensures that tutors’ planning time is spent optimizing implementation and building deep content knowledge, not creating tutoring session plans.
Below, you will find two protocols for reviewing student academic data, one for a frequent post-session review and one for any data collected on an interim or infrequent basis. These protocols follow the same What/So What/Now What format as the Standard Data Review Protocol, but they are tailored with tutor-specific questions to guide data analysis.
Standardizing a Data Review process helps set a clear expectation that the end product of Data Review is not knowledge, but action. Any Data Review Protocol should ensure that raw data is converted into a clear and digestible format before the reflection process so that reviewers can focus their energies on reflecting on the data, rather than synthesizing the data.
Data Review is the process of collecting data, reflecting on it, and distilling it into actionable insights. This process is how you can turn data into knowledge and knowledge into action. Data Review requires going "below the surface" to find root causes for your results (both positive and negative) and planning actionable changes to continue improving your program.
Consult an attorney to ensure program compliance with all federal, state, and local laws.
| Logic Model Elements (Program Outputs and Short Term Impact) | Sub-Area | Measures | Tool | Data Collection Cadence | Performance Expectation |
|---|---|---|---|---|---|
A Performance Management Plan outlines how to assess a program’s progress towards making the desired Impact defined in its Logic Model, complete with key benchmarks to hit by specific dates. It is a reusable, consistent roadmap for finding rigorous answers to questions like “Are we on track?” or “What are we doing well?” or “How can we improve?”