For researchers

Your research workflow,
finally in one place.

Design studies, collect responses, and prepare your data for analysis — without switching between tools.

survey builder
text
What is your current role?
likert · 5-point
How satisfied are you with your work-life balance?
Strongly disagree
Disagree
Neutral
Agree
Strongly agree
choice · single
How often do you work overtime?

Most research workflows are spread across five or six tools.

Survey design in one tool. Response export to another. Data cleaning in a spreadsheet. Preparation in R. Documentation somewhere else.

Each handoff introduces friction — manual exports, reformatting, copy-paste errors. And when a reviewer asks how you handled missing values, retracing those steps across tools is rarely straightforward.

Forms
export
Excel
copy-paste
SPSS
re-format
R
document
Word

What's included

All features
22 question types
Text, scales, matrices, ranking, NPS, date/time, color, and more.
Eligibility screening
Define rules to filter participants before they enter the study.
Informed consent
Checkbox or typed-name verification, recorded per participant.
Live tracking
Response counts, completion rates, and condition breakdown in real time.
Data preparation
Row exclusion, missing value imputation, outlier detection, transformations.
Export
CSV or JSON, filtered by completion status or experimental condition.

Resarc covers three phases of the research workflow: Build, Collect, and Prepare.

1
Build
2
Collect
3
Prepare
01
01 — Build

Design your entire study in one place.

Create blocks, add screens, and configure questions using 22 built-in types — text fields, matrix scales, Likert items, ranking tasks, and more.

Eligibility screening, informed consent, and experimental condition assignment are all handled within the same editor. Consent supports both checkbox and typed-name verification. Conditions can be assigned randomly or based on eligibility responses.

  • 22 question types — text, scales, matrices, ranking, NPS, and more
  • Eligibility screening — filter participants before they begin
  • Informed consent — built-in consent flow
  • Experimental conditions — random or rule-based assignment
  • Multi-language support — translate your study for international samples
02 — Collect

Track data collection as it happens.

Share a participation link and monitor responses in real time. The overview shows total responses, completion rate, and distribution across conditions — all updated as participants complete the study.

  • Live response tracking — total responses, completion rate, and condition breakdown
  • Participant management — see who started, completed, or was disqualified
  • Per-condition links — share different URLs for different conditions
  • Session tracking — start time, duration, and status for every participant
0
/ 200 target responses
89% completion
3 conditions
03 — Prepare

Clean and prepare your data — without leaving.

Once data collection wraps up, you'd usually export a CSV and spend an afternoon in R or Excel. Here, you prepare your data right where you collected it.

Exclude rows based on conditions. Handle missing values — drop them or impute with the mean. Detect outliers with IQR or Z-score methods. Apply transformations. Each step is logged, each decision is documented.

  • Row exclusion — filter out participants based on any field condition
  • Missing value handling — exclude or impute (mean or fixed value)
  • Outlier detection — IQR, Z-score, or manual thresholds
  • Transformations — binary recoding, normalization, value remapping
  • Export — download as CSV or JSON, filtered by status or condition
Preparation pipeline
Step 1 Row exclusion
Exclude rows where age > 100
312 rows → 309 rows (−3 excluded)
Step 2 Missing values
Impute satisfaction_score with mean
14 values imputed
Step 3 Outlier detection
Z-score > 3.0 on response_time
309 rows → 287 rows (−22 flagged)

Transparency you don't have to think about.

Every step you take is recorded. When you seal your dataset, it gets a cryptographic hash — proof that the data hasn't been altered. Your preparation decisions are logged in an audit trail. If you wrote a pre-registration, it lives alongside your study.

The platform handles the record-keeping. When a journal asks about your data pipeline, you share the log.

Dataset sealing

Cryptographic hash guarantees data integrity after collection closes.

Audit trail

Every event timestamped, from study creation to data export.

Pre-registration

Document hypotheses, methods, and analysis plans before collecting data.

Export signing

Cryptographically signed exports for independent verification.

audit trail
2026-02-12 10:04:33 study.created
info
2026-02-14 09:15:01 study.launched
active
2026-03-08 16:42:19 collection.closed
sealed
2026-03-08 16:42:20 dataset.sealed
sha256:a3f8c2…
2026-03-09 11:30:05 data.exported
signed

Simple pricing

Start for free. Upgrade when you need more.

Free
For getting started with your first study.
0
Free forever
  • 1 project
  • 1 survey per project
  • Up to 50 responses
  • 1 analysis
  • All 22 question types
  • Data preparation & export
Get started free
Labs
For research teams and labs working together.
42
per month, billed annually (€504/year)
  • Everything in Individual Researcher
  • 5 team members included
  • Additional seats: €5/month each
  • Shared projects across the team
  • Role-based access (PI, Experimenter, Auditor)
Start with Labs

Students get the Individual Researcher plan for free.

Access unlimited projects, surveys, responses, and analyses at no cost for the duration of your studies.

Contact us

Discover open research

Browse pre-registered studies from researchers who believe in transparency. Every project in the directory is openly shared — study designs, analyses, and all.

Browse the directory
Reproducibility in visual perception
Cognitive Scienceattentionperception
Social priming effects — pre-registered replication
Social Psychologypriming
Working memory load in bilingual adults
Psycholinguisticsmemorylanguage

From study design to analysis-ready data — one platform.

Resarc handles the full workflow so you can focus on the research itself.