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  • Posted: Dec 11, 2025
    Deadline: Dec 23, 2025
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  • Samuel Hall is an independent think tank specialised in field research and social impact. We strive to provide practicable insights to challenging issues in the developing world by providing academic-standard research through primary data collection in areas where researchers do not commonly go. Samuel Hall works with governments, donors, multilateral org...
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    Call of Interest: Meta-Learning Assessment & Capacity Strengthening Consultant

    SCOPE OF WORK

    • The consultant will undertake the following activities across 5 months (February – June 2026): The consultant will design and implement an innovative, data-driven meta-learning assessment that goes beyond traditional qualitative tools. The emphasis is on how learning occurred, how it was applied, and how it generated value, using quantifiable metrics, ratios, and comparative indicators that can be shared with partners during restitution workshops.
    • The consultant is expected to demonstrate creativity, propose fit-for-purpose methodologies, and articulate clearly how they define and operationalise meta-learning within LLEARN.

    Activity 1: Inception, Conceptualisation & Methodological Design (February 2026)

    • Review LLEARN project documentation: Implementation Manual, Data Collection Manual, PF reports, Cocreation City
    • Notes, Country Reports, Validation Workshop outputs
    • Provide a clear conceptualisation of meta-learning within the LLEARN context, explaining its relevance to multi-country, multi-stakeholder consortia.

    Propose an innovative methodological approach that captures individual, organisational, and consortium-level meta-learning using:

    • Quantitative and semi-quantitative tools
    • Meta-learning scorecards
    • Process-tracing indicators
    • Behavioural markers of adaptation and self-regulation
    • Learning transfer matrices

    Deliverable: Inception Report (10-15 pages) with full methodology and indicator framework.
    Activity 2: Meta-Learning Measurement & Data Capture (March – April 2026)
    The consultant will employ creative, participatory, and quantifiable techniques, such as:
    Learning Analytics Dashboards:

    • Analysis of project workflows, communication patterns, and decision logs to quantify adaptive behaviours.

    Learning Behaviour Metrics:

    • Ratios such as feedback uptake rates, time-to-adaptation, and cross-country knowledge transfer frequency.

    Scenario-Based Assessments:

    • Structured exercises allow partners to demonstrate decision-making, problem-solving, and reflexivity.

    Meta-Learning Self-Assessment Scores:

    • Numerical scoring tools co-developed with partners to measure their confidence, self-regulation, and learning strategy utilisation.

    Synergy and Ripple-Effect Mapping:

    • Quantitative mapping of how one activity influences others across cities or countries using network analysis or contribution scoring.
    • Field anecdotes may be collected selectively as illustrative case examples, but all primary findings must be supported by figures, ratios, or comparative metrics.

    Deliverable: Dataset and analytical summaries of all meta-learning indicators in Meta-Learning Assessment Report (30-40 pages) with findings disaggregated by meta-learning domain and stakeholder group
    Activity 3: Analysis, Value for Money Assessment & Meta-Learning Framework

    • Development Toolkit Development (May-June 2026)
    • Analyse meta-learning performance across all six domains defined in the ToR.
    • Generate consortium-wide and country-level meta-learning scores supported by visualisations, trend analysis, and cross-country comparison.

    Assess Value for Money (VfM) in learning processes and outputs, proposing metrics such as:

    • Cost-to-learning gain ratio
    • Learning scalability index
    • Efficiency of feedback loops
    • Quantify synergies and ripple effects, identifying how learning in one city or partner influenced others.
    • Develop a Meta-Learning Framework that incorporates indicators, measurement tools, and guidance for multi-country consortia.

    A practical framework outlining:

    • Core meta-learning principles for multi-country, multi-stakeholder consortia
    • Indicators and milestones to track meta-learning throughout a project cycle
    • Roles and responsibilities for fostering organisational and partnership learning
    • Systems and structures that enable adaptive management and real-time learning

    Deliverable: Meta-Learning Assessment Report with Meta-Learning Framework and A hands-on toolkit (20-30 pages) including:

    • Self-assessment tools: Checklists and scorecards for consortia to evaluate their meta-learning capacity at different project stages
    • Facilitation guides: How to run meta-learning reflection sessions and after-action reviews
    • Communication templates: Structured formats for sharing lessons, feedback loops, and adaptive decision-making
    • Case studies from LLEARN: Concrete examples of meta-learning in action (successes and failures)

    Activity 4: Restitution, Dissemination, and Toolkit Development (June 2026)

    • Present quantifiable results through interactive restitution workshops, using dashboards, ratio charts, and comparative visuals.
    • Facilitate a co-analysis session where participants validate findings, interpret scores, and prioritise improvements.

    Develop a Meta-Learning Toolkit providing:

    • Practical measurement tools
    • Templates and scorecards
    • Guidance for embedding learning into programme cycles
    • Instructions for ongoing monitoring of learning indicators
    • The toolkit must enable future consortia to replicate, adapt, and scale meta-learning processes.

    Deliverables:

    • Validation Workshop Report (5-10 pages)
    • Final Presentation (slides)
    • Finalised Meta-Learning Framework and Toolkit

    REQUIRED QUALIFICATIONS
    The ideal consultant or consulting team will have:
    Required:

    • Advanced degree (Master's or PhD) in Organisational Learning, Education, Social Sciences, International Development, or related field
    • Minimum 7 years of experience in participatory research, organisational development, or learning systems strengthening
    • Demonstrated expertise in meta-learning, adaptive management, or learning organisation frameworks
    • Experience working with multi-country consortia or complex partnerships in humanitarian, migration, or development contexts
    • Strong facilitation skills for participatory reflection workshops and validation sessions
    • Excellent analytical and report-writing skills in English
    • Experience in East Africa (Kenya, Uganda, Ethiopia, Somalia, South Sudan) preferred

    Desirable:

    • Familiarity with reintegration programming, urban governance, or displacement contexts
    • Experience developing practical toolkits and training materials for non-specialist audiences
    • Fluency in additional languages (Kiswahili, Arabic, Somali, Amharic) is an asset
    • Knowledge of participatory action research (PAR) or developmental evaluation approaches

    Check how your CV aligns with this job

    Method of Application

    The Application must be submitted through email to careers@samuelhall.org with the subject line stating Call of Interest: Meta - Learning Assessment & Capacity Strengthening Consultant. Applications sent by any other means or delivered to other email addresses will not be considered.
    The application deadline is 23 December 2025.
    The Application document should comprise the following:

    • Technical Proposal (max 10 pages):
    • Understanding of meta-learning and its relevance to LLEARN
    • Proposed methodology and approach
    • Work plan and timeline
    • Team composition and roles (if applicable)

    Financial Proposal:

    • Detailed budget breakdown (consultant fees, travel, workshops, etc.)
    • Payment schedule
    • CV (s) of Key Personnel (max 3 pages each)

    Sample Work:

    • 1-2 examples of similar assessments, frameworks, or toolkits developed
    • The Application should be submitted in English.
    • All required information must be provided, responding clearly and concisely to all the points set out. Any application which does not fully and comprehensively address the Call of Interest requirements may be rejected.

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