Strategic planning and the design of results frameworks for projects and programs
In humanitarian contexts, problems can be severe, and multiple challenges often make it hard to tackle root causes. Projects and programs are needed that can intervene effectively, and which directly improve outcomes
for affected communities. A clearly-constructed results-chain is critical to accountability, mid-course corrections, and learning. i-APS staff are skilled at generating results frameworks that set out an intervention’s
activities and its expected results, the strategic objective to be delivered, and the overall goals to which programs should contribute.
Tool development, data collection, analysis and reporting
i-APS is experienced in integrated approaches to the entire data collection chain. We seamlessly link evaluation matrices that hold your organization’s information-needs, with the correct information-gathering tools
that will maximize data reliability. Tools are designed to be appropriate to sensitive environments and to vulnerable populations through local piloting to ensure their acceptance and effectiveness. Tools are then
fielded, based on appropriate numerical and geographical sampling methods. Our field teams are carefully-recruited and trained to engage effectively with respondents and with senior informants. They are capable
of reaching remote areas, and then accessing the required sources, usually using mobile data-collection platforms. Our specialist teams competently analyze incoming data streams, triangulate information, feedback
to field teams, and check for quality. i-APS team leaders and senior staff then provide robust reports that present impartial findings, set out evidence-based conclusions, and propose actionable recommendations,
which work together to inspire user confidence in our M&E outputs.
Data quality assessments
Credible and effective reports must always be founded on management systems that reliably collect good-quality, verified data. Data quality assessments are vital to assess the ability of ensure optimal confidence and
to improve underlying organizing data frameworks. Data quality auditing tools are used by i-APS teams to determine a program or project’s ability to report quality-data, and to strengthen their data management and
reporting systems that provide sound evidence for decisions. Our methodologies to assess the integrity of data gathering systems, and can verify a sample of reported data according to specific indicators to identify
gaps and monitor necessary improvements.
MEAL focused training, capacity-building and learning
i-APS integrated MEAL training systems can effectively contribute to your organization’s improved M&E performance and to greater impacts of your projects. Based on an assessment of staff needs, program requirements
and organizational practices, i-APS provides tailored training to build-up the required skills in MEAL thinking, approaches and tools. Typical areas that we focus on are M&E capabilities and personnel roles; results
and performance frameworks; indicators and their definitions; program/project reporting systems and their requirements; data collection approaches and tools; data management processes and quality control; and linkages
with wider reporting systems. Covering these topics improves your personnel’s understanding of what works, what doesn’t, for whom, and under what circumstances. Through combined practical and theoretical sessions,
our MEAL training instills relevant concepts, sensitizes staff to the need to strengthen data management functions, and provides your staff with the practical tools to improve performance and reporting to produce
required quality information.
Performance, Mid-Term and Impact Reporting
Impact, mid-term and performance evaluations are now a common, obligatory requirement of donors and national governments. However, doing them well is a serious challenge. i-APS begins this work by developing a conceptual
model, based on existing results frameworks and, if needed, through the reconstructing of project logic, or building up a theory of change. This leads to a clear view of the indicators to be applied, and where the
information needed can be found. i-APS always explicitly emphasizes questions with immediate relevance to client operations. Once defined, the variables of interest, such as activities and targets, outputs or results,
and their outcomes and impacts, can begin to be measured. I-APS applies a well-tested toolkit of desk and field-based methods that includes results-chain documentation; analysis of M&E system outputs; timeline tracking;
and a range of quantitative, qualitative, and participatory instruments. We have found that it is key to tailor methods to each context, and to prioritize the key information needed, so as to avoid overburdening
data collection and reporting. As well, i-APS seeks to ensure that evaluations become a long-term learning experience for participants, donors and implementing organizations alike, that should unite relevant actors
in consultative processes of data collection, findings’ validation and results dissemination.