For Program Evaluators & M&E Teams

Evaluation intelligence,from design to donor report.

OECD-DAC aligned evaluation workflows with KEQ frameworks, evidence matrices, three-phase AI coding with human oversight, and complete audit trails — from field data to donor-ready reports in one platform.

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Evidence matrix mapping codes across participants for program evaluation
OECD-DAC AlignedEvidence-BasedAudit TrailDonor-Ready
60%
Faster to findings
From raw field data to synthesized evaluation findings in a fraction of the time
100%
Evidence traceability
Every finding links back to source data with a complete audit trail
1
Platform replaces 4-5 tools
Survey design, data collection, qualitative coding, analysis, and reporting in one workspace

How it works

01

Design your evaluation

Define key evaluation questions within OECD-DAC criteria (relevance, coherence, effectiveness, efficiency, impact, sustainability). Build mixed-methods instruments with AI conversational interviews, voice collection, and structured forms.

Design your evaluation
02

Collect field data

Deploy surveys via web, mobile, or KoboToolbox integration. Support for multi-language fieldwork and voice interviews.

Collect field data
03

Synthesize evidence

Three-phase AI coding pipeline with human review at every stage. Build evidence matrices that map coded segments to KEQs, triangulate findings across data sources, and track inter-coder reliability.

Synthesize evidence
04

Generate donor reports

Export publication-ready findings reports structured by KEQs, with page-level citations, methodology sections, evidence matrices, and executive summaries. Every claim traces to source data.

Generate donor reports

Features for your workflow

Evidence Matrices

12-sheet evidence matrices with source indexing, code frequency analysis, co-occurrence with Jaccard similarity, and KEQ-evidence mapping. Filter by quality status for rigorous exports.

KEQ Frameworks

Structure evaluations around key evaluation questions aligned to OECD-DAC, Theory of Change, or Results-Based frameworks. Define expected themes and comparison dimensions.

Evidence Review & Synthesis

Search 5 academic databases, screen papers, generate landscape analyses, and synthesize evidence — from rapid scans to PRISMA-compliant systematic reviews.

KoboToolbox Integration

Import existing KoboToolbox datasets or deploy new instruments through Kobo for offline field collection.

Donor Report Generation

Generate formatted evaluation reports ready for donors and stakeholders with one click.

Multi-Language Fieldwork

Conduct interviews and surveys in 90+ languages with text-to-speech and voice response support.

Audit Trails

Every coding decision, reviewer action, and analytical step is logged. Demonstrate methodological rigor to donors and review boards with a complete chain of evidence.

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.

Tell me what changed after the training.
The staff felt more confident, but transport was still a problem.
AI Interviewer

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

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

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.

One platform. From pilot study to national program.

Every account begins with a 14-day Professional trial. No credit card required.

Free

$0/mo
  • CSV export
  • Form builder
  • Dataset import
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Your next evaluation starts here

Join evaluation teams delivering rigorous, donor-ready findings in a fraction of the time.

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