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Feed the Future indicators and the 
Africa RISING project mapping and 
monitoring tool in ESA 
Carlo Azzarri 
IFPRI M&E team 
Africa RISING ESA Review and Planning Meeting 
Arusha, Tanzania, 9-11 September 2014
Project Mapping and 
Monitoring Tool 
2 
Scope and Purpose 
Major Components 
http://dev.harvestchoice.org/africarising/
Evaluation design is hard. 
Monitoring is painful… 
Need for a simple, flexible and 
engaging tool to report on program 
performance and capture 
decisions/adjustments made over 5- 
year program lifecycle: 
− Baseline site characteristics 
− Site stratification and selection 
− Intervention details 
− Bi-annual FtF (and other project-specific) 
indicators 
− Surveys and evaluation results 
− Links to intermediary and final output 
(incl. primary data) 
3 
Aligning project goals, 2012.
PMMT Design Principles Interviewing a farmer, 2013. 
 MSExcel revisions no more! 
 Grow organically based on 
evolving M&E needs and 
partners’ feedback and capacity – 
do not overbuild 
 Flexible, adapted to most M&E 
designs 
 Simple to deploy in the field, no 
strong dependence on high-speed 
4 
Internet connectivity 
 Leverage existing CGIAR tools and 
repositories 
 Openness (to and from 3rd party 
applications and databases)
Powerful Spatial 
Visualization 
M&E site stratification & 
selection. Powerful spatial 
visualization features to provide 
rich contextual information, and 
overlays of local biophysical 
characteristics with socio-economic 
data in support of 
action/control site selection 
process. 
5
Simplified Project 
Performance Monitoring 
Streamlined indicator data entry 
and reporting. Familiar, secure 
interface for data entry with pre-set 
list of indicators help clarify 
reporting requirements. Data 
import/export tools for multiple 
end-uses. 
6
Project Mapping and Monitoring 
Tool Walk-through 
7 
Mapping and Visualization 
Monitoring and Reporting 
Training Resources 
http://dev.harvestchoice.org/africarising/
Mapping & 
Visualization 
Top pane: header 
toolbar with quick site 
navigation and 
filtering 
Bottom pane: map 
tools, rendering 
options (layer legend, 
base layers, 
administrative 
boundaries) 
Left pane: data 
toolbar (contextual 
overlays) 
8 
Map: Africa RISING megasites and community clusters.
Data Toolbar: 
Contextual 
Overlays 
High-res intermediary 
and final 
stratification/ 
segmentation layers 
AR baseline survey 
results (forthcoming) 
and other socio-economic 
9 
indicators 
HarvestChoice/IFPRI 
raster collection for 
sub-Saharan Africa 
(over 600 layers)
Data Toolbar: 
Selected Layer 
Panel 
Access to full layer 
meta-data 
Re-arrange selected 
layers 
Manipulate layer 
transparency 
10
Header Toolbar: 
Navigate AR Sites 
Filter and zoom to AR 
sites by study area, 
target technology, or 
by research partner. 
Access additional 
tools for printing and 
embedding map views 
into external sites. 
Links to external AR 
report and data 
catalogs. 
11
Site Info Box 
Navigate sites in each 
cluster. 
Identify site names, 
type, contact 
information, and full 
site details. 
Zoom in to specific 
sites. 
12
Research 
Activities Tab 
Full site description 
Links to individual 
data reports 
13
Data Toolbar: 
Overlays 
Snapshot of 
HarvestChoice 5- 
arc-minute layers 
for sub-Saharan 
Africa, also 
accessible at 
http://apps.harvest 
choice.org/mappr/ 
(with advanced 
data query tools) 
14
Population, 
Poverty, 
Nutrition, 
Climate, Soils, etc. 
Explore AR sites in 
full context. 
15
Contribute your 
own vector 
maps… 
PMMT can 
incorporate 
contributed maps 
(e.g. MEASURE DHS 
sub-national child 
mortality estimates) 
16
Header Toolbar: 
Print and Share 
Export to PNG and 
insert all layers and 
legend into your 
own documents. 
17
Header Toolbar: 
Print, Share, and 
Embed 
Use the view’s 
permalink to share 
an interactive map 
with others via e-mail, 
18 
etc.
19 
PMMT Monitoring: 
Basic Concepts 
Data Report 
time-series of indicators at the 
site and/or work package level 
Indicator Indicator 
Category 
Measure 
1 of 9 selected FtF indicators, or 
project-specific indicators (e.g. 
sustainability indices) 
Breakdown of indicator by gender, 
technology, beneficiary, etc. 
Category 
Measure Measure 
Recorded value 
(incl. unit, time, author)
Report Creation 
Workflow 
Simple step-by-step 
wizard to generate 
new report 
templates: 
1. Overview 
2. Partners 
3. Technologies 
4. Value-chains 
5. Target sites 
6. Indicator list 
20
Report Creation 
Workflow 
Simple step-by-step 
wizard to generate 
new report 
templates: 
1. Overview 
2. Partners 
3. Technologies 
4. Value-chains 
5. Target sites 
6. Indicator list 
21
Report Creation 
Workflow 
Simple step-by-step 
wizard to generate 
new report 
templates: 
1. Overview 
2. Partners 
3. Technologies 
4. Value-chains 
5. Target sites 
6. Indicator list 
22
Report Editing 
Workflow 
Standard FtF data 
report with jump-list 
between the 9 
indicators retained for 
Africa RISING. 
Report is designed to 
match AR 5-year span, 
but can be customized 
to suit other USAID 
programs. 
Indicator definitions 
are also customizable. 
23
Report Editing 
Workflow 
Revisions are clearly 
identified (but 
cannot be rolled 
back). 
Underlying data 
may be exported to 
CSV for further 
tabulations, or else 
the entire report 
may be printed out. 
24
Not in scope (yet) 
 No automated “vertical” roll-up 
of indicator values (across 
Africa RISING megasites or at 
program level) 
 Indicators not yet 
programmatically tied to 
intermediary results and FtF 1st 
level objectives 
 No map visualization of 
performance indicators across 
target sites 
25 
Africa RISING logframe.
Additional Training 
Resources 
 Series of in-country M&E and 
26 
PMMT workshops (Ethiopia 
planned for October- 
November 2014) 
 On-line PMMT User Guide 
 Video tutorial 
Interviewing a farmer, 2013.
General feedback 
Strongly 
Agree 
Agree Neutral Disagree 
Strongly 
Disagree 
1. The objectives of the training were clearly defined. 17 13 1 0 0 
2. Participation and interaction were encouraged. 17 14 1 0 0 
3. The topics covered were relevant to me. 13 14 4 0 0 
4. The content was organized and easy to follow. 10 15 2 0 0 
5. The materials distributed were helpful. 17 10 3 0 0 
6. This training experience will be useful in my work. 14 8 3 0 0 
7. The trainer was knowledgeable about the training topics. 16 16 1 0 0 
8. The trainer was well prepared. 19 12 0 0 0 
9. The training objectives were met. 10 17 3 0 0 
10. The time allotted for the training was sufficient. 3 12 6 8 1 
11. The PMMT will be very useful for your research 
activities 13 11 6 1 0
Some feedback from PMMT trainees: Lilongwe 
“What additional PMMT-related would you like to see in the future” 
• Demonstrations on actual data, pooling data to make sense of it 
• Training dealt on M&E aspect and lacked aspects for general data 
entry 
• We will see when the tool is completed 
• FtF indicators 
• Retiring existing data about particular variables done by other AR 
projects 
• How the PMMT will be monitored 
• Harmonization of indicators 
• Integration with other data sets, adding new reports (editing) 
categories and change indicators 
• Conducting data analysis using data in the repository
Some feedback from PMMT trainees: Arusha 
“What additional PMMT-related trainings would you like to see in the 
future” 
• Uploading data reports and data management 
• Building custom indicator reports 
• Deeper understanding of concepts related to the PMMT 
• How to edit already submitted reports 
• How team members could give feedback to the principal 
investigator 
• Same content but with slower pace to get better understanding of 
the tool 
• To allow participants enter their own data as part of the training 
• To allow sharing of information from different work packages so 
that to absorb the practical benefits of the tool 
• How to create new user accounts
Some feedback from PMMT trainees: Chipata 
“What additional PMMT-related trainings would you like to 
see in the future” 
• Map production and additional tools 
• There is urgent need for offline modules due to unreliable 
connection 
• Higher-level results (outcome) indicator tracking 
• Data entry application 
• Need more data on Southern Africa countries 
• How to allow uploading of data from excel 
• GIS, which is related to mapping
Additional feedback 
• this was an eye opening training we need more exposure training to get 
more benefits of the tool 
• the PMMT needs to be completed and really in use rather than a 
theoretical tool” 
• the training really reflects what is a key for sustainability of research, with 
a link on what is already researched though not necessarily published 
• one day too short and comprehend and practice data entry, export and 
editing: optimum time 2 days 
• the tool will be very useful, especially when the scientists (WP) who own 
the data will be willing to share 
• the package needs a number of improvements 
• there is urgent need for offline modules due to unreliable connection 
• customize the application considering poor internet connectivity in Africa 
• creation of a tool to allow actors to work offline will be highly welcomed 
• the system requires updating the overlays to specify properly the farming 
systems
PMMT roadmap 
 Add new spatial layers using 
results from recent LSMS-ISA 
surveys and from ARBES 
baseline surveys 
 Provide vertical roll-ups of 
indicators across megasites, 
and mini program dashboard 
(?) 
 Tighter integration between 
PMMT and CGIAR report and 
data catalogs (CGSpace, 
AgTrials, and ILRI CKAN) 
 Allow 3rd-party spatial data 
sources to be read into and 
visualized alongside Africa 
RISING layers 
 Build support for off-line 
data entry (possibly using 
mobile devices) 
 Batch import/export of FtF 
indicators (?) 
 Embed HarvestChoice 
MAPPR tools 
(point/polygon/domain 
summaries) for advanced 
spatial analyses 
32
Looking ahead… 
• M&E team soon to contact ESA colleagues 
who attended the PMMT training to help 
us update: 
• List of action villages (e.g., Malawi) 
• List of technologies 
• Identify/confirm researchers to whom 
we should give editing rights to enable 
them create/edit reports and 
assign/create new user accounts 
• Please watch out for our email...!
Conclusions 
• FTF indicators are difficult to monitor, but we must 
report on them, no way out! 
• And…we are required to report them appropriately, with 
no double-counting. USAID is providing guidance on this. 
• PMMT was exactly built to make our life easier, so please 
use it! 
• And…please send us feedback should anything be 
unclear or need to be added/changed. You will hear 
from us, though.
Good luck! 
Africa Research in Sustainable Intensification for the Next Generation 
africa-rising.net 
The presentation has a Creative Commons licence. You are free to re-use or distribute this work, provided credit is given to ILRI.

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Feed the Future indicators and the Africa RISING project mapping and monitoring tool in ESA

  • 1. Feed the Future indicators and the Africa RISING project mapping and monitoring tool in ESA Carlo Azzarri IFPRI M&E team Africa RISING ESA Review and Planning Meeting Arusha, Tanzania, 9-11 September 2014
  • 2. Project Mapping and Monitoring Tool 2 Scope and Purpose Major Components http://dev.harvestchoice.org/africarising/
  • 3. Evaluation design is hard. Monitoring is painful… Need for a simple, flexible and engaging tool to report on program performance and capture decisions/adjustments made over 5- year program lifecycle: − Baseline site characteristics − Site stratification and selection − Intervention details − Bi-annual FtF (and other project-specific) indicators − Surveys and evaluation results − Links to intermediary and final output (incl. primary data) 3 Aligning project goals, 2012.
  • 4. PMMT Design Principles Interviewing a farmer, 2013.  MSExcel revisions no more!  Grow organically based on evolving M&E needs and partners’ feedback and capacity – do not overbuild  Flexible, adapted to most M&E designs  Simple to deploy in the field, no strong dependence on high-speed 4 Internet connectivity  Leverage existing CGIAR tools and repositories  Openness (to and from 3rd party applications and databases)
  • 5. Powerful Spatial Visualization M&E site stratification & selection. Powerful spatial visualization features to provide rich contextual information, and overlays of local biophysical characteristics with socio-economic data in support of action/control site selection process. 5
  • 6. Simplified Project Performance Monitoring Streamlined indicator data entry and reporting. Familiar, secure interface for data entry with pre-set list of indicators help clarify reporting requirements. Data import/export tools for multiple end-uses. 6
  • 7. Project Mapping and Monitoring Tool Walk-through 7 Mapping and Visualization Monitoring and Reporting Training Resources http://dev.harvestchoice.org/africarising/
  • 8. Mapping & Visualization Top pane: header toolbar with quick site navigation and filtering Bottom pane: map tools, rendering options (layer legend, base layers, administrative boundaries) Left pane: data toolbar (contextual overlays) 8 Map: Africa RISING megasites and community clusters.
  • 9. Data Toolbar: Contextual Overlays High-res intermediary and final stratification/ segmentation layers AR baseline survey results (forthcoming) and other socio-economic 9 indicators HarvestChoice/IFPRI raster collection for sub-Saharan Africa (over 600 layers)
  • 10. Data Toolbar: Selected Layer Panel Access to full layer meta-data Re-arrange selected layers Manipulate layer transparency 10
  • 11. Header Toolbar: Navigate AR Sites Filter and zoom to AR sites by study area, target technology, or by research partner. Access additional tools for printing and embedding map views into external sites. Links to external AR report and data catalogs. 11
  • 12. Site Info Box Navigate sites in each cluster. Identify site names, type, contact information, and full site details. Zoom in to specific sites. 12
  • 13. Research Activities Tab Full site description Links to individual data reports 13
  • 14. Data Toolbar: Overlays Snapshot of HarvestChoice 5- arc-minute layers for sub-Saharan Africa, also accessible at http://apps.harvest choice.org/mappr/ (with advanced data query tools) 14
  • 15. Population, Poverty, Nutrition, Climate, Soils, etc. Explore AR sites in full context. 15
  • 16. Contribute your own vector maps… PMMT can incorporate contributed maps (e.g. MEASURE DHS sub-national child mortality estimates) 16
  • 17. Header Toolbar: Print and Share Export to PNG and insert all layers and legend into your own documents. 17
  • 18. Header Toolbar: Print, Share, and Embed Use the view’s permalink to share an interactive map with others via e-mail, 18 etc.
  • 19. 19 PMMT Monitoring: Basic Concepts Data Report time-series of indicators at the site and/or work package level Indicator Indicator Category Measure 1 of 9 selected FtF indicators, or project-specific indicators (e.g. sustainability indices) Breakdown of indicator by gender, technology, beneficiary, etc. Category Measure Measure Recorded value (incl. unit, time, author)
  • 20. Report Creation Workflow Simple step-by-step wizard to generate new report templates: 1. Overview 2. Partners 3. Technologies 4. Value-chains 5. Target sites 6. Indicator list 20
  • 21. Report Creation Workflow Simple step-by-step wizard to generate new report templates: 1. Overview 2. Partners 3. Technologies 4. Value-chains 5. Target sites 6. Indicator list 21
  • 22. Report Creation Workflow Simple step-by-step wizard to generate new report templates: 1. Overview 2. Partners 3. Technologies 4. Value-chains 5. Target sites 6. Indicator list 22
  • 23. Report Editing Workflow Standard FtF data report with jump-list between the 9 indicators retained for Africa RISING. Report is designed to match AR 5-year span, but can be customized to suit other USAID programs. Indicator definitions are also customizable. 23
  • 24. Report Editing Workflow Revisions are clearly identified (but cannot be rolled back). Underlying data may be exported to CSV for further tabulations, or else the entire report may be printed out. 24
  • 25. Not in scope (yet)  No automated “vertical” roll-up of indicator values (across Africa RISING megasites or at program level)  Indicators not yet programmatically tied to intermediary results and FtF 1st level objectives  No map visualization of performance indicators across target sites 25 Africa RISING logframe.
  • 26. Additional Training Resources  Series of in-country M&E and 26 PMMT workshops (Ethiopia planned for October- November 2014)  On-line PMMT User Guide  Video tutorial Interviewing a farmer, 2013.
  • 27. General feedback Strongly Agree Agree Neutral Disagree Strongly Disagree 1. The objectives of the training were clearly defined. 17 13 1 0 0 2. Participation and interaction were encouraged. 17 14 1 0 0 3. The topics covered were relevant to me. 13 14 4 0 0 4. The content was organized and easy to follow. 10 15 2 0 0 5. The materials distributed were helpful. 17 10 3 0 0 6. This training experience will be useful in my work. 14 8 3 0 0 7. The trainer was knowledgeable about the training topics. 16 16 1 0 0 8. The trainer was well prepared. 19 12 0 0 0 9. The training objectives were met. 10 17 3 0 0 10. The time allotted for the training was sufficient. 3 12 6 8 1 11. The PMMT will be very useful for your research activities 13 11 6 1 0
  • 28. Some feedback from PMMT trainees: Lilongwe “What additional PMMT-related would you like to see in the future” • Demonstrations on actual data, pooling data to make sense of it • Training dealt on M&E aspect and lacked aspects for general data entry • We will see when the tool is completed • FtF indicators • Retiring existing data about particular variables done by other AR projects • How the PMMT will be monitored • Harmonization of indicators • Integration with other data sets, adding new reports (editing) categories and change indicators • Conducting data analysis using data in the repository
  • 29. Some feedback from PMMT trainees: Arusha “What additional PMMT-related trainings would you like to see in the future” • Uploading data reports and data management • Building custom indicator reports • Deeper understanding of concepts related to the PMMT • How to edit already submitted reports • How team members could give feedback to the principal investigator • Same content but with slower pace to get better understanding of the tool • To allow participants enter their own data as part of the training • To allow sharing of information from different work packages so that to absorb the practical benefits of the tool • How to create new user accounts
  • 30. Some feedback from PMMT trainees: Chipata “What additional PMMT-related trainings would you like to see in the future” • Map production and additional tools • There is urgent need for offline modules due to unreliable connection • Higher-level results (outcome) indicator tracking • Data entry application • Need more data on Southern Africa countries • How to allow uploading of data from excel • GIS, which is related to mapping
  • 31. Additional feedback • this was an eye opening training we need more exposure training to get more benefits of the tool • the PMMT needs to be completed and really in use rather than a theoretical tool” • the training really reflects what is a key for sustainability of research, with a link on what is already researched though not necessarily published • one day too short and comprehend and practice data entry, export and editing: optimum time 2 days • the tool will be very useful, especially when the scientists (WP) who own the data will be willing to share • the package needs a number of improvements • there is urgent need for offline modules due to unreliable connection • customize the application considering poor internet connectivity in Africa • creation of a tool to allow actors to work offline will be highly welcomed • the system requires updating the overlays to specify properly the farming systems
  • 32. PMMT roadmap  Add new spatial layers using results from recent LSMS-ISA surveys and from ARBES baseline surveys  Provide vertical roll-ups of indicators across megasites, and mini program dashboard (?)  Tighter integration between PMMT and CGIAR report and data catalogs (CGSpace, AgTrials, and ILRI CKAN)  Allow 3rd-party spatial data sources to be read into and visualized alongside Africa RISING layers  Build support for off-line data entry (possibly using mobile devices)  Batch import/export of FtF indicators (?)  Embed HarvestChoice MAPPR tools (point/polygon/domain summaries) for advanced spatial analyses 32
  • 33. Looking ahead… • M&E team soon to contact ESA colleagues who attended the PMMT training to help us update: • List of action villages (e.g., Malawi) • List of technologies • Identify/confirm researchers to whom we should give editing rights to enable them create/edit reports and assign/create new user accounts • Please watch out for our email...!
  • 34. Conclusions • FTF indicators are difficult to monitor, but we must report on them, no way out! • And…we are required to report them appropriately, with no double-counting. USAID is providing guidance on this. • PMMT was exactly built to make our life easier, so please use it! • And…please send us feedback should anything be unclear or need to be added/changed. You will hear from us, though.
  • 35. Good luck! Africa Research in Sustainable Intensification for the Next Generation africa-rising.net The presentation has a Creative Commons licence. You are free to re-use or distribute this work, provided credit is given to ILRI.

Editor's Notes

  1. In light of challenges discussed earlier…
  2. For institutional learning, etc. Emphasis on data and results is important, but not only. Not envisioned to replace existing publishing platforms, or organization catalogs. Also how do we capitalize on lessons learnt for strategic planning. Acknowledge M&E lifecycle (from evaluation design , site selection, to monitoring, capacity building). Too many XLS worksheets to handle -> data harmonization, poor quality insurance
  3. Some principles explicit, some not. Not an ERP system, lightweight. Easy to deploy in the field, no strong dependence on Internet connectivity. Design principles to address previous challenges. Oddly didn’t start as a full-fledged M&E engine.
  4. There were several steps in the geographical targeting process conducted by the M&E team. The first step involved identification of the three sub-regional geographies that satisfied the criteria of high levels of poverty, high concentration of cereal-based farming systems, and low levels of productivity: the West African Guinea Savannah, Ethiopian Highlands, and maize- and rice-based systems of East and Southern Africa. The second step involved delineating geographical strata (or domains) within those larger areas, where each stratum was hypothesized to represent relatively uniform farming system, SI intervention, and impact pathway conditions or opportunities. The third step involved characterizing each of the strata in terms of the number of potential beneficiaries and other farming system, infrastructure, environmental and welfare-related variables that would help prioritize individual strata from an AR perspective (presuming it might not be practical or feasible to conduct research in all strata). The final step involved random selection of action research and control locations within priority domains.
  5. Overview of map interface and tools
  6. Each data report covers a group of sites, typically corresponds to a single work package.
  7. Only key features outlined here.
  8. Number of picklists. To the extent possible reusing CGIAR vocabularies (e.g. partners, technologies, commodity names)
  9. Number of picklists. To the extent possible reusing CGIAR vocabularies (e.g. partners, technologies, commodity names)
  10. Feedback and suggestions welcome.