For Academic & Mixed-Methods Researchers

Mixed-methods and literature review that survive review.

Design instruments, collect or import field data, screen literature, appraise sources, code qualitative material, analyze single- or multi-audience studies, and draft findings from the same study workspace.

Start a research trial
Research flowone study workspace
01

Build the study or review protocol

Set up research questions, eligibility criteria, instruments, languages, and consent before work begins.

ProtocolEligibilityQuestionsConsent
02

Collect, import, or screen sources

Run collection in Heurista, import field data, or bring literature records and documents into review.

Heurista formsKobo syncODK CentralXLSFormRIS/BibTeX
03

Analyze side by side

ScreeningTitle, abstract, full text, exclusions
AppraisalJBI, CASP, reviewer notes
AnalysisCodes, statistics, dashboards
04

Draft a traceable finding

Evidence supports stronger effects in blended delivery cohorts.

Included study S14PRISMA flowTable T03
PRISMA-readyReview outputs

Track title, abstract, and full-text screening decisions, exclusions, appraisal notes, and flow-ready counts

95+Study languages

Localized instruments, plus KoboToolbox sync, ODK Central push, SurveyCTO/XLSForm handoff, CSV, transcript, RIS, and BibTeX import

Full workflowStatistics

Prepare data, define reusable segments, analyze overall or by respondent group, and run descriptive, inferential, regression, reliability, longitudinal, and panel procedures

Relevant tools

Capabilities researchers need in one study workspace

Instrument & Protocol Builder

Design mixed-methods instruments or review protocols with eligibility criteria, questions, study languages, consent text, and respondent modes.

View tools

Field Data & Source Import

Collect in Heurista, connect KoboToolbox or ODK Central by API, export XLSForm for CAPI handoff, or import transcripts, PDFs, RIS, BibTeX, and CSV files.

View collection

Systematic & Literature Review

Search supported scholarly and grey-literature sources, import records or documents, screen against inclusion criteria, record exclusions, apply JBI or CASP appraisal, and prepare PRISMA-ready review outputs. Connector status remains visible throughout.

View review workflow

Codebooks, Screening & AI Coding

Create codebooks, get coding and screening suggestions, and accept, reject, or refine assignments before they become part of the analysis.

View tools

Statistics & Dashboards

Prepare and segment data, describe results overall or by respondent group, compare groups, model relationships, assess reliability, and analyze repeated observations with validated longitudinal and panel procedures.

View tools

PRISMA-Ready Reports & DOCX Export

Export findings, codebooks, review summaries, PRISMA flow counts, and analysis reports to editable Word documents for review.

View tools

Reviewable AI support

Where AI can reduce analysis labor

Heurista uses AI where it can reduce research labor, but the useful unit is still a reviewable suggestion, query answer, or draft tied back to the study record.

  1. 01

    Codebook- and protocol-aware review

    Hue proposes codes or screening decisions from your codebook, inclusion criteria, and review protocol. Accept, reject, or refine each suggestion before it becomes part of the study record.

  2. 02

    Mixed-methods and literature queries

    Ask thematic, statistical, distribution, or literature-review questions across your study. Answers point back to coded segments, tables, charts, source documents, or screening records that support them.

  3. 03

    Drafts and PRISMA outputs for review

    Findings drafts with methodology, results, citations, review summaries, and PRISMA-ready counts researchers can edit in Word. Source references move with the draft so review can follow the analysis.

Trust

Controls for research data

Encryption in transit

TLS encryption in transit, with clear controls for account and study access.

AI data protection

Research data is handled under commercial API terms and is not used to train public AI models.

Full audit trails

Every action logged with timestamps, user identity, and change history.

Role-based access control

Granular permissions for team members, reviewers, and external stakeholders.

Security documentation

Privacy Policy, DPA, and data subject rights documentation are available for procurement review.

Research consent support

Consent screens, participant notices, and study-level controls support responsible fieldwork.

Next step

Use Heurista on a real study or review

Design the protocol, collect or import data, screen and appraise literature, analyze across methods, and prepare a draft that keeps the supporting records close.

Try Heurista View pricing
Human review  ·  No training on your data  ·  Source-linked findings