SlideShare uma empresa Scribd logo
1 de 7
Monitoring and Evaluation of the
Uchaguzi 2013 Kenya Deployment
Angela Crandall
Rhoda Omenya
Strengths
• Physical situation room a big plus for
collaboration
• Tech platform was live the whole time
and was secured
• Citizens, volunteers, and partners
appreciated the platform and there
was use by all parties
• Citizens across the country reported to
the platform
Weaknesses
• Data management strategy (how to clean
data and use it afterwards for future
simulations)
• Poor time management that caused
delays in most aspects of the deployment
• Disjointed outreach efforts
• Need to track the responses made on
information sent to response partners
• Not enough training and simulations for
co-leads, volunteers, and on-the-ground
staff
To Decide for Future
Deployments
• Start/End Dates – election cycle or
election day
• Strategies and how to communicate
the strategies (partnerships, media,
etc.)
• Automation in the technology platform
• Create list of on-going volunteers (and
reach out to them to help with new
deployments)
Recommendations
• Plan early.
• Further build effective partnerships.
• Develop strategies.
• Use simulation.
• Implement solid Project
Management structure led by a
strong project lead with a team of
managers.
Conclusion
• Greatest challenge in Uchaguzi Kenya
2013 was time management which is
affected by availability of resources.
Thus need to balance time and
resources management.
• Proof of concept was made; users and
partners sincerely believed in the utility
of an ICT election-watch initiative.
• Need to avoid repeating mistakes
made in previous deployments.
Conclusion
• Greatest challenge in Uchaguzi Kenya
2013 was time management which is
affected by availability of resources.
Thus need to balance time and
resources management.
• Proof of concept was made; users and
partners sincerely believed in the utility
of an ICT election-watch initiative.
• Need to avoid repeating mistakes
made in previous deployments.

Mais conteúdo relacionado

Mais de Ushahidi

Pivoting An African Open Source Project
Pivoting An African Open Source ProjectPivoting An African Open Source Project
Pivoting An African Open Source Project
Ushahidi
 

Mais de Ushahidi (20)

Ushahidi Toolbox - Assessment
Ushahidi Toolbox - AssessmentUshahidi Toolbox - Assessment
Ushahidi Toolbox - Assessment
 
Kenya Ushahidi Evaluation: Unsung Peace Heros/Building Bridges
Kenya Ushahidi Evaluation: Unsung Peace Heros/Building BridgesKenya Ushahidi Evaluation: Unsung Peace Heros/Building Bridges
Kenya Ushahidi Evaluation: Unsung Peace Heros/Building Bridges
 
Kenya Ushahidi Evaluation: Uchaguzi
Kenya Ushahidi Evaluation: UchaguziKenya Ushahidi Evaluation: Uchaguzi
Kenya Ushahidi Evaluation: Uchaguzi
 
Kenya Ushahidi Evaluation: Blog Series
Kenya Ushahidi Evaluation: Blog SeriesKenya Ushahidi Evaluation: Blog Series
Kenya Ushahidi Evaluation: Blog Series
 
Pivoting An African Open Source Project
Pivoting An African Open Source ProjectPivoting An African Open Source Project
Pivoting An African Open Source Project
 
Ushahidi esri juliana
Ushahidi esri julianaUshahidi esri juliana
Ushahidi esri juliana
 
Ushahidi personas scenarios
Ushahidi personas scenariosUshahidi personas scenarios
Ushahidi personas scenarios
 
Citizen pollution mapping made easy
Citizen pollution mapping made easy Citizen pollution mapping made easy
Citizen pollution mapping made easy
 
Testimony
TestimonyTestimony
Testimony
 
Map it, Change it
Map it, Change itMap it, Change it
Map it, Change it
 
Map it, Make it, Hack it
Map it, Make it, Hack itMap it, Make it, Hack it
Map it, Make it, Hack it
 
What if Citizens Mapped Health?
What if Citizens Mapped Health?What if Citizens Mapped Health?
What if Citizens Mapped Health?
 
Re-imagining Citizen Engagement
Re-imagining Citizen EngagementRe-imagining Citizen Engagement
Re-imagining Citizen Engagement
 
Ushahidi Research Seminar 11.11.11
Ushahidi Research Seminar 11.11.11Ushahidi Research Seminar 11.11.11
Ushahidi Research Seminar 11.11.11
 
Ihub Research
Ihub ResearchIhub Research
Ihub Research
 
What's in the toolkit (Ushahidi at ETHz)
What's in the toolkit (Ushahidi at ETHz)What's in the toolkit (Ushahidi at ETHz)
What's in the toolkit (Ushahidi at ETHz)
 
Volunteer Mappers: Building community resilience with citizen media
Volunteer Mappers: Building community resilience with citizen mediaVolunteer Mappers: Building community resilience with citizen media
Volunteer Mappers: Building community resilience with citizen media
 
Ushahidi Deployment - Output Toolbox
Ushahidi Deployment - Output ToolboxUshahidi Deployment - Output Toolbox
Ushahidi Deployment - Output Toolbox
 
Ushahidi Deployment - Implementation Toolbox
Ushahidi Deployment - Implementation ToolboxUshahidi Deployment - Implementation Toolbox
Ushahidi Deployment - Implementation Toolbox
 
Ushahidi Deployment - Assessment Toolbox
Ushahidi Deployment - Assessment ToolboxUshahidi Deployment - Assessment Toolbox
Ushahidi Deployment - Assessment Toolbox
 

Último

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Último (20)

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 

Monitoring and Evaluation of the Uchaguzi 2013 Kenya Deployment

  • 1. Monitoring and Evaluation of the Uchaguzi 2013 Kenya Deployment Angela Crandall Rhoda Omenya
  • 2. Strengths • Physical situation room a big plus for collaboration • Tech platform was live the whole time and was secured • Citizens, volunteers, and partners appreciated the platform and there was use by all parties • Citizens across the country reported to the platform
  • 3. Weaknesses • Data management strategy (how to clean data and use it afterwards for future simulations) • Poor time management that caused delays in most aspects of the deployment • Disjointed outreach efforts • Need to track the responses made on information sent to response partners • Not enough training and simulations for co-leads, volunteers, and on-the-ground staff
  • 4. To Decide for Future Deployments • Start/End Dates – election cycle or election day • Strategies and how to communicate the strategies (partnerships, media, etc.) • Automation in the technology platform • Create list of on-going volunteers (and reach out to them to help with new deployments)
  • 5. Recommendations • Plan early. • Further build effective partnerships. • Develop strategies. • Use simulation. • Implement solid Project Management structure led by a strong project lead with a team of managers.
  • 6. Conclusion • Greatest challenge in Uchaguzi Kenya 2013 was time management which is affected by availability of resources. Thus need to balance time and resources management. • Proof of concept was made; users and partners sincerely believed in the utility of an ICT election-watch initiative. • Need to avoid repeating mistakes made in previous deployments.
  • 7. Conclusion • Greatest challenge in Uchaguzi Kenya 2013 was time management which is affected by availability of resources. Thus need to balance time and resources management. • Proof of concept was made; users and partners sincerely believed in the utility of an ICT election-watch initiative. • Need to avoid repeating mistakes made in previous deployments.