AidInsight by DevelopMetrics

Map what works, where, for whom, and at what cost.

AidInsight turns large volumes of project information, field data, local expertise, and evidence into tools that help inform decisions.

Turn scattered evidence into tools teams can review.

AidInsight helps teams move from scattered documents and data into answers, comparisons, and reviewable workflows that keep sources visible.

What AidInsight connects

What AidInsight connects

AidInsight brings together the evidence and context teams already rely on, then structures it into reviewable knowledge for live workflows.

01

Evidence

Evaluations, project reports, research, policy documents, partner records, and institutional knowledge.

02

Data and records

Project records, indicators, cost data, maps, repositories, and local government data.

03

Social-sector logic

Interventions, outcomes, mechanisms, populations, geographies, implementation constraints, risks, claims, and results.

04

Context

Local knowledge, field observations, implementation constraints, language, safeguarding considerations, and delivery realities.

05

Trust controls

Sources, assumptions, confidence, evidence strength, limitations, review status, human approval, and audit records.

How AidInsight works

From scattered evidence to reviewable decisions.

The workflow is simple on purpose: connect what matters, structure it clearly, compare options, and keep human review visible.

01

Connect sources

Bring together the documents, records, field inputs, and approved external sources behind the workflow.

02

Structure evidence

Organize evidence around interventions, outcomes, costs, risks, and contextual fit.

03

Compare options

Surface what choices may achieve, what they may cost, and where uncertainty remains.

04

Produce outputs

Generate source-linked comparisons, notes, guidance, or reporting outputs that are ready for review.

05

Keep review in the loop

Preserve approval, challenge, and auditability instead of hiding judgment inside the system.

Core capabilities

Built for evidence-heavy decisions.

AidInsight is designed for workflows where evidence quality, contextual fit, limitations, and review status all matter.

Knowledge frame

Evidence architecture

Structures fragmented evidence around interventions, outcomes, populations, geographies, costs, risks, and local context.

Decision support

Intervention comparison

Helps teams compare what options may achieve, what they may cost, how well the evidence fits the context, and where uncertainty remains.

Review state

Reviewable outputs

Outputs can show sources, assumptions, confidence, evidence strength, limitations, and human review status.

Workflow delivery

Workflow delivery

Turns analysis into practical outputs for funding, policy, delivery, learning, reporting, and impact assurance.

Use cases

What teams use AidInsight for

The platform is meant to support practical outputs, not abstract analysis. These are examples of where the model fits.

Use case 01

Funding choice and portfolio analysis

Compare interventions, geographies, partners, likely outcomes, costs, and uncertainty using source-linked evidence.

Example outputs: intervention comparison, cost-effectiveness assumptions, portfolio learning snapshot.

Use case 02

Policy intelligence

Bring evidence, institutional memory, and contextual fit into policy briefs, memos, and strategic options.

Example outputs: policy note, research synthesis, decision brief.

Use case 03

Institutional knowledge

Turn scattered reports, project files, and records into reusable structured knowledge for ongoing decision support.

Example outputs: evidence map, reusable knowledge base, program logic summary.

Use case 04

Field and advisory AI

Support field-facing guidance with evidence, safeguards, local context, and explicit review rules kept in view.

Example outputs: field guidance note, advisory workflow, implementation brief.

Use case 05

Evidence-backed claim review

Review claims, assertions, or submissions against supporting records, maps, rules, and evidence quality signals.

Example outputs: claim review file, adjudication note, exception log.

Use case 06

Impact assurance and donor reporting

Connect evidence, indicators, supporting records, and review steps into clearer reporting and assurance workflows.

Example outputs: donor report draft, assurance file, indicator evidence pack.

Trust model

Built for decisions people need to explain.

Every output can show where it came from, what assumptions were used, how strong the evidence is, what limitations apply, and who reviewed it.

SC

Sources stay connected

Outputs can trace back to the documents, records, and inputs behind them rather than summarizing them away.

AV

Assumptions are visible

Judgments, thresholds, fit criteria, and review logic stay explicit instead of remaining implied.

ES

Evidence strength is labeled

Teams can distinguish stronger evidence from weaker evidence rather than flattening both into the same answer.

LS

Limitations are stated

Uncertainty, constraints, and edge cases remain visible so teams know what should not be overclaimed.

HR

Human review remains part of the workflow

Approval, challenge, and accountability remain central for decisions that need scrutiny and ownership.

Delivery model

Begin with a focused AidInsight workflow.

Every engagement begins with a named user group, evidence base, output, review owner, and acceptance test. DevelopMetrics connects the best available evidence, delivers a working output in weeks, and expands into reusable infrastructure when it proves useful.

01

Pick one high-value workflow

Start with a named workflow, user group, output, review owner, and practical acceptance test.

02

Connect the best available evidence

Bring together internal files, data, field inputs, context, and approved external sources that matter to that decision.

03

Co-define logic, criteria, and thresholds

Set the comparison logic, evidence rules, confidence cues, review steps, and thresholds with the team using it.

04

Deploy a source-linked workflow with human review

Stand up a working flow in weeks, then expand it into reusable infrastructure once it proves useful.

Proof / related work

Evidence systems in action

AidInsight reflects the same operating model already used across policy, delivery, food security, and claims-related workflows.

Start with one practical AidInsight workflow.

Bring one decision, report, review process, or evidence problem. We will help identify a focused place to begin.

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