Providence Development Group, Inc. - PDG LiberiaWork With PDG

Evidence · accountability · learning

Research, Monitoring, Evaluation & Geospatial Services

PDG supports institutions, businesses and development programs with rigorous research, monitoring, evaluation, data analysis and geospatial services that strengthen evidence, accountability, learning and decision-making.

From question to learning

The Research & Evaluation Lifecycle

A clear sequence, adapted to the assignment. Mapping contributes where location matters; quality checks and learning run throughout.

  1. Define

    Clarify the decision and research questions.

  2. Design

    Set methods, indicators and sampling.

  3. Collect

    Gather field, institutional and spatial data.

  4. Validate

    Check completeness, consistency and quality.

  5. Analyze

    Examine patterns, change and relationships.

  6. Map

    Explore location and spatial context.

  7. Interpret

    Assess meaning, uncertainty and limitations.

  8. Report

    Communicate findings and recommendations.

  9. Learn

    Use the evidence to inform the next decision.

A connected evidence practice

Core Capabilities

Research Design & Applied Studies

Frame useful research questions, select appropriate methods and connect study design to the decisions the evidence needs to inform.

Baseline, Endline & Impact Studies

Establish starting conditions, assess change and develop evaluation approaches suited to the intervention, available data and attribution questions.

Monitoring, Evaluation & Learning

Develop frameworks and review processes that help institutions track results, examine outcomes and use learning to improve delivery.

Surveys & Data Collection

Design instruments, organize fieldwork and support consistent collection through clear protocols, field-team preparation and supervision.

Data Analysis & Visualization

Clean and analyze data, examine patterns and communicate findings through accessible tables, visualizations and dashboards.

GIS, Mapping & Spatial Analysis

Connect records to location to understand coverage, access, infrastructure and spatial relationships relevant to planning and operations.

Remote Sensing & Earth Observation

Use suitable satellite and other spatial data to examine environmental conditions, land cover and change, with documented resolution and limitations.

Reporting, Evidence & Decision Support

Translate findings into traceable reports, briefs and recommendations that distinguish evidence, assumptions and uncertainty.

Scope the assignment

Studies for Institutional & Development Questions

Possible assignments include...

Study design should reflect the intended use, population, timing, data availability and resources.

Research & Assessment

  • Needs assessments
  • Household and community surveys
  • Vulnerability and risk assessments
  • Perception / KAP studies
  • Beneficiary assessments

Evaluation & Performance

  • Baseline studies
  • Endline studies
  • Impact evaluations
  • Post-project evaluations

Institutional, Market & Development Studies

  • Feasibility studies
  • Institutional assessments
  • Market and value-chain studies

Measure results. Use the learning.

Monitoring, Evaluation & Learning

Link program objectives to measurable indicators, reliable information and practical review cycles. Frameworks and systems can be developed or adapted to the institution’s context.

Plan & define

  • Results frameworks
  • Indicator development
  • Logframes
  • Monitoring plans

Monitor & assure

  • Data collection systems
  • Performance monitoring
  • Data quality assessments
  • Outcome tracking

Evaluate & learn

  • Learning reviews
  • Evaluation design
  • Dashboards
  • Reporting systems

Location adds context

GIS & Geospatial Services

Geospatial work connects evidence to place. It can help institutions analyze access, compare risks and plan resources, while supporting field operations, asset records and service-delivery decisions.

Data sources, spatial resolution, reference systems and uncertainty should be documented alongside the findings.

Illustrative spatial layersA schematic combines areas, observation points and a connection route. It is not a map of actual PDG project data.
Illustrative spatial view · not project data
  • Areas
  • Observations
  • Connections

Build the spatial foundation

  • GIS database development
  • Asset and infrastructure mapping
  • GPS/mobile field mapping
  • Web maps

Understand coverage & risk

  • Service-access mapping
  • Vulnerability and risk mapping
  • Thematic mapping
  • Spatial analysis

Observe environmental change

  • Remote sensing
  • Land-use / land-cover analysis
  • Flood and environmental mapping
  • Agriculture and natural-resource mapping

Methods before software

Data & Analytical Tools

Tools support delivery; they do not define the service. Selection depends on the methods, data, institutional requirements and handover needs.

Explore potential tools

Potential tools may include:

General Data & Analytics

  • Excel
  • Power BI
  • Python
  • R
  • SQL
  • SPSS
  • STATA

GIS & Spatial Analysis

  • QGIS
  • ArcGIS
  • GeoPandas

Remote Sensing & Earth Observation

  • Google Earth Engine
  • ENVI

Field Data Collection

  • Kobo / ODK-type field systems

Evidence in context

Applications Across Sectors

Selected applications include...

Agriculture & Agribusiness

  • Farmer and household studies
  • Crop and value-chain analysis
  • Food-security assessments
  • Agricultural GIS and remote sensing

Health

  • Program evaluation
  • Service-access analysis
  • Health surveys
  • Facility mapping

Education

  • Learning assessments
  • School mapping
  • Education program M&E
  • Institutional assessments

Social Protection & Community Development

  • Vulnerability assessments
  • Beneficiary studies
  • Social-service mapping
  • Community needs assessments

Environment & Climate

  • Climate-risk studies
  • Flood and hazard mapping
  • Land-cover analysis
  • Resilience assessments

Government & Public Administration

  • Institutional assessments
  • Performance monitoring
  • Service-delivery analysis
  • Evidence dashboards
Explore the full PDG sector catalogue

Quality is part of the method

Quality & Research Integrity

Assignment planning should set out how data will be collected, checked, protected and interpreted. Consent and confidentiality arrangements should reflect the participants, information sensitivity and applicable requirements.

Any required institutional or ethics approvals should be identified with the commissioning organization and obtained through the appropriate authorities.

Outputs that can be used

Deliverables

Depending on the assignment, deliverables may include...

Design & fieldwork

  • Inception reports
  • Research protocols
  • Survey instruments
  • Monitoring frameworks

Data & analytical products

  • Cleaned datasets
  • Codebooks
  • Dashboards
  • GIS maps

Findings & decisions

  • Analytical reports
  • Evaluation reports
  • Policy briefs
  • Presentations
  • Recommendations

Bring the question. Shape the assignment.

Turn Data Into Evidence for Better Decisions

Discuss the decision you need to inform, the evidence already available and the research, evaluation or spatial support the assignment may require.