Evaluation and research design
Structure evaluation questions, frameworks, indicators, theories of change, methods, stakeholders, instruments, and validation rules before collection begins.
Research and evaluation technology
Heurista helps research and evaluation teams move across methods without rebuilding context in disconnected files and tools. Evaluation questions, instruments, field data, source documents, coded evidence, statistical outputs, findings, dashboards, and reports remain part of the same auditable study record.
One connected study record
Heurista turns questions, criteria, indicators, theory of change, methods, stakeholders, and validation rules into a practical study structure. Collection, analysis, synthesis, and reporting can then inherit that context instead of recreating it.
Core workspace
Structure evaluation questions, frameworks, indicators, theories of change, methods, stakeholders, instruments, and validation rules before collection begins.
Manage forms, live links, multilingual collection, AI-led interviews, imports, and fieldwork status while preserving consent and source context.
Code transcripts, write memos, translate material, run statistical tools, document findings, and keep analytical work inside the study record.
Connect literature review, evidence matrices, dashboards, report sections, recommendations, citations, and exports to the reviewed evidence behind them.
Auditable analysis
Transcripts, translations, codebooks, coded excerpts, memos, quality checks, statistical outputs, findings, and analytical decisions stay together. Teams can inspect how an interpretation was reached instead of inheriting a black box.
Hue · Study-aware AI assistance
Hue works from the methods and evidence already inside the study. It can help organize information, suggest methodological improvements, summarize reviewed material, and draft from study context while researchers decide what becomes an accepted code, finding, recommendation, or report claim.
Who Heurista is for
Heurista supports research and evaluation teams working across methods, countries, languages, and reporting requirements. The common need is a clear connection between study decisions, source evidence, analysis, and final claims.
Manage key evaluation questions, criteria, indicators, collection plans, analysis, findings, recommendations, and reports in one governed evaluation workspace.
Coordinate study design, instruments, fieldwork, imported datasets, literature, mixed-methods analysis, and outputs without losing source context.
Work across transcripts, translations, codebooks, excerpts, memos, analytical findings, and review decisions while preserving traceability.
Screen literature, record inclusion decisions, build evidence matrices, synthesize findings, and carry citations into briefs and reports.
Security and governance
Research and evaluation data often comes from real people, institutions, and communities. Heurista keeps access, AI assistance, analysis, and reporting inside a governed environment.
Developed under I4DI’s ISO 27001-certified information security management system.
Role-based access and workspace separation help keep teams, studies, and client data controlled.
Encryption in transit and at rest, consent records, and audit trails across the research workflow.
Customer research data is not used to train AI models. Private processing options are available.
Built by the Institute for Development Impact
Heurista is developed by I4DI, an independent, ISO-certified evaluation, applied research, and technology-for-impact organization. It brings together I4DI’s Impact Technology and Evidence & Intelligence practices. The product reflects recurring challenges encountered across real studies: fragmented workflows, lost source context, manual rework, and weak links between evidence and claims.
Independent evaluation and applied research organization.
ISO 27001 information security and ISO 9001 quality management.
Research, evaluation, and technology work across contexts.
Evaluation, MEL, evidence synthesis, data systems, and reporting.
Frequently asked questions
Heurista supports evaluations, monitoring and learning studies, applied research, qualitative studies, quantitative studies, mixed-methods research, literature reviews, systematic reviews, and evidence synthesis. Teams can shape the workspace around the study design while keeping questions, sources, analysis, and outputs connected.
Yes. Qualitative transcripts and codes, quantitative datasets and statistical outputs, literature sources, findings, dashboards, and report claims can remain inside the same study record. Teams can compare evidence across methods without flattening the differences between those methods.
Hue can help organize information, suggest methodological improvements, summarize reviewed material, and draft from study context. Researchers remain responsible for accepting codes, findings, recommendations, and report claims. Customer research data is not used to train AI models.
Study design decisions, source records, imported data, coded excerpts, memos, analyses, findings, citations, and report sections remain linked within the workspace. Teams can review the path from a claim back to the evidence and analytical decisions that support it.
Heurista is managed under I4DI’s ISO 27001-certified information security management system. The platform supports role-based access, workspace separation, encryption in transit and at rest, consent records, and audit trails. Private deployment and local AI processing are available for enterprise requirements.
See how Heurista can support an evaluation, research study, evidence review, qualitative project, or mixed-methods programme.