NCSNCS
What We Do

Research, evaluation, and data services

High-quality services across the full programme cycle, from inception to final report.


NCS designs and delivers evaluations and baselines that start with the decision the client needs to make. We clarify evaluation questions, map indicators, design mixed-methods tools, train field teams, supervise data collection, clean and analyse data, and validate findings with stakeholders before final reporting.

Best for

  • Donor-funded baselines, mid-term reviews, and final evaluations
  • Programmes that need benchmark values linked to a results framework
  • Teams that need clear findings, recommendations, and management responses

Methods

OECD-DAC criteriaMixed-methods designKIIs, FGDs, and structured surveysIndicator mapping and samplingValidation workshops

Deliverables

  • Inception report and evaluation matrix
  • Digital data collection tools
  • Clean dataset, codebook, and analysis outputs
  • Baseline or evaluation report with recommendations

We assess gender norms, power relations, access and control over resources, protection risks, disability inclusion, and institutional responsiveness. The work is designed to support programme design, gender action plans, safeguarding, and gender-transformative accountability.

Best for

  • Programmes preparing gender or social inclusion action plans
  • Education, livelihoods, protection, SRHR, and humanitarian assignments
  • Teams that need practical recommendations, not only descriptive analysis

Methods

Gender and power analysisDisability-inclusive rapid analysisSafe qualitative facilitationStakeholder mappingAction planning workshops

Deliverables

  • Gender or social inclusion analysis report
  • Practical action plan
  • Risk and mitigation notes
  • Presentation for programme teams and partners

NCS manages data collection assignments from tool design to clean datasets. We build digital forms, train enumerators, supervise fieldwork, monitor data quality, resolve field issues quickly, and prepare analysis-ready outputs for client teams.

Best for

  • Household, participant, farmer, and community surveys
  • Rapid assessments in remote or hard-to-reach areas
  • Assignments requiring bilingual tools and local-language facilitation

Methods

KoboToolbox and SurveyCTOEnumerator training and pilotsDaily quality dashboardsBack-checks and spot-checksData cleaning and coding

Deliverables

  • Final questionnaire and consent scripts
  • Configured digital forms
  • Enumerator training package
  • Clean dataset and fieldwork summary

We help teams move from fragmented reporting to usable monitoring and learning systems. Assignments can include results framework review, indicator reference sheets, data flow mapping, database architecture, dashboard design, reporting templates, and staff coaching.

Best for

  • New programmes setting up MERL systems
  • Existing programmes with weak data flows or inconsistent reporting
  • Teams preparing donor reports, dashboards, or learning reviews

Methods

Results framework reviewIndicator reference sheetsData flow mappingPower BI and ActivityInfo dashboardsData quality assessment

Deliverables

  • MERL system design note
  • Indicator matrix and reporting calendar
  • Database or dashboard prototype
  • Staff orientation and handover package

We facilitate training that is grounded in the client's tools, data, and reporting responsibilities. Sessions are built around exercises, field examples, practice with digital tools, and clear handover materials so teams can apply the learning immediately.

Best for

  • NGO and partner staff who collect, manage, or use programme data
  • Enumerator teams preparing for fieldwork
  • Programme teams strengthening evaluation literacy and data use

Methods

Applied workshopsTool practice and simulationsEnumerator role playData quality exercisesPortuguese and English facilitation

Deliverables

  • Training agenda and facilitation notes
  • Participant materials
  • Pre/post assessment summary
  • Practical next-step recommendations
Tools & Methods

How we work

Industry-standard tools and frameworks across the full research and evaluation cycle, adapting to client systems and building in data quality assurance at every stage.

Data Collection

KoboToolboxSurveyCTO

Data Management & Analysis

SPSSExcel

Visualisation & Reporting

Power BIActivityInfo

Information Systems

DHIS2

Evaluation Frameworks

OECD-DAC criteriaContribution analysisTheory of changeResults-based managementGender-responsive MEAL

Quality Assurance

Fieldwork built for reliable evidence

01

Ethical fieldwork

Consent, privacy, safeguarding, and do-no-harm considerations are built into tool design, enumerator training, and field supervision.

02

Enumerator readiness

Training, pilots, role play, and field protocols help enumerators understand the tools, the assignment purpose, and respondent safety.

03

Daily quality checks

Field submissions are reviewed for completeness, consistency, timing, skip logic, location patterns where appropriate, and emerging data issues.

04

Validation before finalisation

Preliminary findings are tested with client teams and stakeholders so reports reflect both the data and the implementation context.

Need a Custom Solution?

Tailored to your
programme.

We can adapt our services to meet your specific needs. Let's talk.

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