Mercy Corps

Complex Program Management Analytics

Analysis of management factors affecting complex program performance.

Project overview

What this project was built to help with

Mercy Corps' complex programs raised a practical management question: which factors most affected performance, and what could the agency do about them? The analysis combined econometric methods, literature review, and structured datasets to produce guidance on support, oversight, reporting, proposal competitiveness, and management metrics.

Project story

Evidence on what affects complex program performance

Mercy Corps wanted to understand which management factors affected complex program success or failure. The project combined econometric methods, literature review, and structured datasets to move beyond anecdotal explanations and identify constraints that could inform operational guidance.

The analysis produced a dataset and a PowerPoint summary of results and recommendations tied to key variables. Findings informed agency guidance on support, oversight, reporting, proposal competitiveness, and management metrics. Recruitment and retention emerged as major performance constraints, giving teams a concrete mitigation pathway to examine.

Example deliverables

Concrete outputs or working assets the project produced or supported.

Deliverable 01Structured dataset for complex program management analysis
Deliverable 02Econometric analysis and literature review
Deliverable 03Summary report and presentation of findings
Deliverable 04Recommendations for support, oversight, reporting, competitiveness, and management metrics
Field operations team working in a development program setting

Decision problem

Mercy Corps needed to understand which management factors were affecting the success or failure of complex programs. The question required more than narrative review: the team needed structured datasets, literature review, econometric analysis, and practical recommendations for agency guidance and management metrics.

What the work involved

1

Analyzed key management factors using econometric methods, literature review, and structured program datasets.

2

Produced a dataset and PowerPoint summary with results and recommendations tied to key independent variables and management questions.

3

Translated findings into guidance on support, oversight, reporting, proposal competitiveness, and management metrics, with recruitment and retention identified as major performance constraints.

Outcome

Recruitment and retention were identified as major performance constraints and informed a mitigation pathway.

Evidence inputs

What the workflow brings together

Structured program datasetsManagement recordsLiterature review findingsPerformance indicators

Review focus

What stays visible for human review

Analytical assumptions
Actionability of findings
Operational constraints

Talk with us about a similar workflow.

Bring one decision, report, review process, or evidence problem. We will help identify the smallest useful place to begin.

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