Adaptive Implementation focuses on how practitioners and researchers together continue to improve their craft by systematically collecting data on adaptations, testing them out, and figuring out what works.
Adaptive Implementation focuses on how practitioners and researchers together continue to improve their craft by systematically collecting data on adaptations, testing them out, and figuring out what works.
Preface Introduction Schools: A combination of technical and adaptive systems What are your core goals? Are you Scaling Up? Or Scaling Down? Adaptive Implementation (AI) Team Adaptive Implementation (AI) Cycle Step 1: What do we need to see? Step 2: What resources do we have? Step 3: What will we do? Step 4: What did we do? Step 5: What did we learn? CASE STUDY: PROJECT EXCEL The ExcEL model STEP 1: WHAT DO WE NEED TO SEE? How Ambitious Should We Be? Identify Waypoints Create your roadmap Five Characteristics of Strong Waypoints Project ExcEL Example STEP 2: WHAT RESOURCES DO WE HAVE? Assess what you have Assess what you don't have Assess what you could have Project ExcEL Example STEP 3: WHAT ARE WE GOING TO DO? Conduct Pro and Con Assessment (PCA) Create a Design and Action Plan (DAP) The problem with logic models Process for developing the DAP Identify the group of activities using the PCA Determine the relationships and synergies of activities Map out the activities Conduct a series of face validity meetings with stakeholders Revise, revise, and revise again Project ExcEL Example STEP 4: WHAT DID WE DO? Annotate your roadmap What to annotate and document? Annotating is not evaluating Project ExcEL Example STEP 5: WHAT DID WE LEARN? Will we do it again? When we do it again . Scaling Up Scaling down Learning through reflection Project ExcEL Example CONCLUSION AND DISCUSSION To use or not to use? Who's at the table? A note to evaluators - and funders Making the time The final word - momentum Appendix Adaptive Implementation (AI) Tools: Templates for the AI Process Adaptive Implementation (AI) Process Template Step 1: What do we want to see? Five Characteristics of Strong Waypoints Checklist Step 2: What resources do we have? AI Resource Management Tool Step 3: What will we do? Pro/ Con Assessment (PCA) Template Step 3: What will we do? Design and Action Plan (DAP) Template Step 4: What did we do? Data Review Sheet Step 5: What Did We Learn? Discussion Protocol Tool REFERENCES
Preface Introduction Schools: A combination of technical and adaptive systems What are your core goals? Are you Scaling Up? Or Scaling Down? Adaptive Implementation (AI) Team Adaptive Implementation (AI) Cycle Step 1: What do we need to see? Step 2: What resources do we have? Step 3: What will we do? Step 4: What did we do? Step 5: What did we learn? CASE STUDY: PROJECT EXCEL The ExcEL model STEP 1: WHAT DO WE NEED TO SEE? How Ambitious Should We Be? Identify Waypoints Create your roadmap Five Characteristics of Strong Waypoints Project ExcEL Example STEP 2: WHAT RESOURCES DO WE HAVE? Assess what you have Assess what you don't have Assess what you could have Project ExcEL Example STEP 3: WHAT ARE WE GOING TO DO? Conduct Pro and Con Assessment (PCA) Create a Design and Action Plan (DAP) The problem with logic models Process for developing the DAP Identify the group of activities using the PCA Determine the relationships and synergies of activities Map out the activities Conduct a series of face validity meetings with stakeholders Revise, revise, and revise again Project ExcEL Example STEP 4: WHAT DID WE DO? Annotate your roadmap What to annotate and document? Annotating is not evaluating Project ExcEL Example STEP 5: WHAT DID WE LEARN? Will we do it again? When we do it again . Scaling Up Scaling down Learning through reflection Project ExcEL Example CONCLUSION AND DISCUSSION To use or not to use? Who's at the table? A note to evaluators - and funders Making the time The final word - momentum Appendix Adaptive Implementation (AI) Tools: Templates for the AI Process Adaptive Implementation (AI) Process Template Step 1: What do we want to see? Five Characteristics of Strong Waypoints Checklist Step 2: What resources do we have? AI Resource Management Tool Step 3: What will we do? Pro/ Con Assessment (PCA) Template Step 3: What will we do? Design and Action Plan (DAP) Template Step 4: What did we do? Data Review Sheet Step 5: What Did We Learn? Discussion Protocol Tool REFERENCES
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