Book contents
- Learning to Make a Difference
- Learning to Make a Difference
- Copyright page
- Contents
- Figures
- Acknowledgments
- Prologue
- Introduction
- Part I Foundation
- Part II Framework
- Part II Section 4 Evaluating
- Chapter 15 Effect Data
- Chapter 16 Contribution Data
- Chapter 17 Consolidating and Integrating the Dataset
- Chapter 18 The Art of Making Value Visible
- Epilogue
- Appendix to Part II: Section 2 Patterns of Flows and Loops
- References
- Index
Chapter 17 - Consolidating and Integrating the Dataset
from Part II Section 4 - Evaluating
Published online by Cambridge University Press: 18 September 2020
Book contents
- Learning to Make a Difference
- Learning to Make a Difference
- Copyright page
- Contents
- Figures
- Acknowledgments
- Prologue
- Introduction
- Part I Foundation
- Part II Framework
- Part II Section 4 Evaluating
- Chapter 15 Effect Data
- Chapter 16 Contribution Data
- Chapter 17 Consolidating and Integrating the Dataset
- Chapter 18 The Art of Making Value Visible
- Epilogue
- Appendix to Part II: Section 2 Patterns of Flows and Loops
- References
- Index
Summary
The first step in consolidating the dataset is to gather and organize the data in one place. We recommend doing this from the very beginning, at least as soon as the first value-creation story comes in. We use a matrix format for this purpose, typically, a spreadsheet, as shown in the example of Figure 17.1. We use the columns to represent the value-creation cycles. The first row is for monitored indicators under the relevant cycles. The rest of the rows are for stories, with each step of the story captured in the column under the relevant value cycle.
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- Learning to Make a DifferenceValue Creation in Social Learning Spaces, pp. 219 - 227Publisher: Cambridge University PressPrint publication year: 2020
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