Areas of expertise and services

Support across the full evidence cycle.

From translating programme questions into robust designs to making findings usable, SRCF combines technical rigour with methods responsive to local operating realities.

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Technical expertise.
Practical delivery.

Each service can stand alone or connect with the others in an end-to-end assignment.

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Full service information

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Research Design and Consultancy

SRCF supports clients to translate programme and policy questions into robust research designs. Services include development of research questions, methodologies, sampling approaches, data collection instruments, qualitative guides, quantitative questionnaires, ethical considerations, field protocols, analysis plans and reporting structures. The firm supports both formative and evaluative studies and can manage the research cycle from inception through dissemination.

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Monitoring, Evaluation, Accountability and Learning

The firm provides MEAL system design, assessment and strengthening services covering theories of change, results frameworks, logframes, indicator development, MEAL plans, indicator reference sheets, IPTTs, monitoring tools, data quality assurance, reporting, learning systems and accountability mechanisms. Its approach emphasizes practical integration of MEAL into programme management rather than treating MEAL as a stand-alone reporting function.

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Data Collection and Field Research

SRCF designs and manages field data collection using trained enumerators, supervisors and field researchers. Depending on the assignment, methods can include household surveys, key informant interviews, focus group discussions, observation, facility assessments, beneficiary interviews and other mixed-method approaches. Digital data collection is incorporated where appropriate to improve timeliness, validation and data security.

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Data Management and Analysis

SRCF provides data cleaning, validation, coding, management, analysis and reporting support. The firm works with quantitative and qualitative datasets and supports clients to transform raw datasets into usable evidence through appropriate analytical procedures, interpretation and reporting.

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Digital MEAL and Data Systems

The firm supports organizations to move from fragmented or paper-based information systems toward structured digital data flows. Experience includes digital data collection, database management, monitoring dashboards and the use of platforms such as KoboToolbox, CommCare, SPSS and Power BI where appropriate to the programme context.

KoboToolboxCommCareSPSSPower BIStructured databases
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Capacity Building and Training

SRCF designs practical training programmes for MEAL, programme and research staff. Training is often complemented by coaching and mentorship so that participants can apply new knowledge to their own programme tools and datasets. Key areas include MEAL planning, data quality, digital data collection, data analysis, reporting, visualization, project planning and research methods.

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Project and Programme Advisory

The firm provides technical support on programme planning, results frameworks, stakeholder engagement, implementation monitoring, risk management, reporting and evidence-based decision-making. Support is structured around the client’s operational priorities and may be delivered through short-term technical assistance or longer accompaniment arrangements.

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Organizational and Institutional Strengthening

SRCF helps local organizations strengthen internal systems and staff capacity so that improved performance can continue after external technical support ends. This includes MEAL system assessments, capacity-gap analysis, improvement plans, mentoring, documentation and institutionalization of tools and processes.

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Quality assurance and ethics

Credibility starts with care.

Quality assurance is integrated throughout SRCF assignments, including methodology review, tool testing, enumerator preparation, field supervision, data review, validation, documentation and report quality checks.

  • Clear research and data-collection protocols
  • Enumerator and supervisor orientation
  • Daily field monitoring and review where required
  • Data validation, cleaning and consistency checks
  • Triangulation across methods and sources
  • Secure handling of information
  • Informed consent, confidentiality and participant dignity
  • Transparent documentation of limitations and decisions
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