AI-augmented research intelligence. You lead. AI accelerates.
Seven AI agents trained on research methodology — from adaptive interviews with six-point bias control to multi-pass qualitative coding with built-in QA review. Evidence synthesis with full traceability. Design, collect, analyze, and report in one workspace.
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Supporting OECD-DAC evaluation frameworks
Research teams lose weeks switching between tools
Heurista replaces your entire research stack.
AI that understands research methodology
Multi-stage analytical pipelines with human oversight built into every checkpoint — designed for the rigor that peer review, ethics boards, and evidence-based policy demand.
Citation network from a scoping review — 465 papers across OpenAlex, Semantic Scholar, PubMed, CORE, Europe PMC, Zenodo, and OpenAIRE with AI-generated theme clustering and screening workflow.
Multi-pass coding pipeline
AI proposes codes, a separate QA pass reviews them, then cross-session synthesis surfaces themes. Every code is validated before it enters your analysis.
Built-in QA review layer
A dedicated validation stage catches coding errors, inconsistencies, and edge cases before they propagate into your findings.
AI codebook generation
Generates hierarchical codebooks with definitions directly from your data — complete with parent-child relationships and inclusion criteria.
Evidence synthesis
Contradiction analysis, confidence scoring, gap identification, and evidence weighting across your full dataset.
Publication-ready report generation
Multi-pass synthesis produces DOCX reports with per-theme, per-question, and cross-cutting analysis. Every claim traces to source data.
Methodology-aware interviewing
The AI interviewer adapts probing technique to your methodology — phenomenology, grounded theory, case study, narrative inquiry, and more.
Full research lifecycle
Design, collect, analyze, synthesize, and report in one platform. AI is embedded at every stage of the workflow.
Causal language guardrails
Prevents AI from overstating correlational findings as causal — maintaining the inferential discipline your research requires.
See how teams use Heurista
See how Heurista fits your research workflow
Program Evaluators & M&E
OECD-DAC frameworks, evidence reviews, evidence matrices, donor-ready reports
Academic Researchers
Systematic reviews, mixed-methods rigor, qualitative coding, publication-ready analysis
Data & Insights Teams
Real-time dashboards, statistical analysis, team collaboration
Humanitarian & Field Research
Rapid assessments, 90+ languages, offline-ready data collection
From question to insight in one workspace
Five steps. One platform. No switching between tools.
Design your project in minutes
Define your research framework, key evaluation questions, and analytical approach. The Survey Designer agent helps you build instruments with 23 question types, conditional logic, and multi-language support — or set up AI conversational interviews with six-point bias controls that probe deeper based on responses.
Collect data anywhere
Three methodologically distinct collection modes in one system: the AI Interviewer agent conducts adaptive conversations with methodology-specific probing, voice surveys run in 90+ languages, and structured forms handle quantitative collection. Deploy online or export for offline fieldwork via KoboToolbox.
Analyze qualitative and quantitative data together
The Qualitative Coder agent runs a three-phase pipeline: AI proposes codes, a separate QA pass catches errors, then cross-session synthesis surfaces themes. Nothing enters your analysis without review. Storyteller builds analytical dashboards from natural language. Qualitative and quantitative in one workspace.
Every finding linked to evidence
Every finding traces to its source data through coded segments and evidence matrices. Map claims to key evaluation questions with full methodological transparency. No orphaned conclusions — the audit trail shows exactly how each insight was derived.
From analysis to compelling stories
Heurista’s Report Generator produces publication-ready DOCX reports with multi-pass synthesis: per-theme, per-question, and cross-cutting analysis. Evidence matrices, codebooks, and interactive dashboards included. Every claim traces to source data — from finding to coded segment to original transcript.
Heurista by the numbers
Real numbers from our platform and the team behind it.
Seven specialized AI agents. One research platform.
Each agent is a methodology-trained analytical pipeline — multi-pass coding with QA review, evidence synthesis with contradiction analysis and confidence scoring, adaptive interviewing grounded in phenomenological bracketing, constant comparison, and narrative temporal ordering. Human review at every stage.
Adaptive Response Intelligence
The AI interviewer detects five types of response quality issues — surface-level answers, social desirability bias, evasive responses, contradictions, and emotional distress — and adjusts its probing technique for each. It cross-references earlier responses to create richer follow-ups, producing interview data that rivals experienced human interviewers.
Six-Point Bias Control
Built-in detection for leading questions, social desirability, acquiescence bias, anchoring, confirmation bias, and interviewer neutrality. Every AI interview is governed by these controls — the system never suggests answer directions, references other respondents, or selectively probes expected findings over surprising ones.
Evidence-Grounded Analysis
Three-phase coding pipeline with human review at every stage. Causal language guardrails prevent the AI from overstating correlational findings. Data-driven chart selection matches your data shape to the right visualization. Every finding traces to source data through the evidence matrix.
Meet the agents
AI Interviewer
Adaptive conversational interviews with methodology-specific probing across phenomenology, grounded theory, narrative inquiry, ethnographic, case study, and thematic analysis approaches.
Dashboard Copilot
Builds analytical dashboards with data-driven chart selection — skewness detection, cardinality rules, Likert-scale awareness, and audience-adapted layouts.
Hue Research Assistant
Conversational study assistant for data Q&A, cross-cutting pattern analysis, methodology guidance, and saturation tracking.
Qualitative Coder
Three-phase pipeline: AI proposes codes, QA review catches errors, cross-session synthesis surfaces themes. Supports grounded theory and framework analysis.
Survey Designer
Generates complete research instruments from descriptions — question design, conditional logic, section structure, and methodology-appropriate system prompts.
Report Generator
Multi-pass synthesis: per-theme analysis, per-question analysis, cross-cutting synthesis. Template-aware formatting for evaluation reports.
Question Generator
Creates professional survey instruments from research objectives — complete with question types, response options, and interviewer guidance.
Everything you need. Nothing you don't.
200+ features organized into the tools researchers actually use.
Survey Design
23 question types, conditional logic, AI question generation, multi-language, consent management
Data Collection
Web, mobile, voice (90+ languages), offline/CAPI, KoboToolbox integration, real-time sync
Qualitative Analysis
Thematic coding, AI auto-coding, co-occurrence matrix, memos, transcript import, document analysis
Quantitative Analytics
30+ chart types, cross-tabs, AI-powered Storyteller dashboards, statistical tests, trend analysis
Evidence Review
5 academic databases, rapid scans, scoping reviews, PRISMA-compliant systematic reviews, citation networks, landscape analysis, quality appraisal, AI synthesis
AI Intelligence
Methodology-trained analytical pipelines with multi-stage coding and built-in QA review. Six research methodology approaches. Evidence synthesis with contradiction analysis and confidence scoring. Causal language guardrails prevent overstated findings.
Reporting & Export
DOCX reports, CSV/XLSX, evidence matrices, codebooks, narrative dashboards
Collaboration
Team workspaces, inter-coder reliability, shared dashboards, audit trails, role-based access
Security
Encryption in transit (TLS), scrypt password hashing, CSRF protection, GDPR-ready, zero-retention AI, audit logs, row-level data isolation
One platform. From pilot study to national program.
Every account begins with a 14-day Professional trial. No credit card required.
Individual
- AI analysis assistant
- CSV export
- PDF export
- Excel export
- Fast AI analysis
- Deep AI analysis
- Basic AI assistant
- Full AI assistant
- Voice responses
- Text-to-speech
- Document analysis
- Storista dashboards
- Form builder
- Dataset import
Team
- AI analysis assistant
- CSV export
- PDF export
- Excel export
- Fast AI analysis
- Deep AI analysis
- Basic AI assistant
- Full AI assistant
- Voice responses
- Text-to-speech
- Document analysis
- Storista dashboards
- Form builder
- Dataset import
- Team collaboration
Enterprise
- AI analysis assistant
- CSV export
- PDF export
- Excel export
- Fast AI analysis
- Deep AI analysis
- Basic AI assistant
- Full AI assistant
- Voice responses
- Text-to-speech
- Document analysis
- Storista dashboards
- Form builder
- Dataset import
- Team collaboration
Enterprise-grade security for sensitive research data
Encryption in transit
TLS encryption in transit. Scrypt-hashed passwords with unique salts. Timing-safe authentication.
AI data protection
Research data not used for model training. Qualified zero-retention processing.
Full audit trails
Every action logged and traceable.
Role-based access
Row-level org isolation, team RBAC, and study-level permissions.
GDPR & CCPA
Privacy Policy, DPA, and data subject rights. International transfer safeguards.
Compliance
Terms of Service · Acceptable Use Policy · AI Transparency Disclosure
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