Peritura
12 study types based on international standards. Create studies from the initial brief to the final report
Respondents receive an invitation by email, link or QR code and complete the questionnaire on any device with a browser, with no app to install.
PerituraSend invitations by email, link or QR code. Participation can be anonymous: access by a short code, with no registration.
The questionnaire opens in a phone, tablet or computer browser, with no installation. Responses are checked for completeness before submission.
Responses enter the platform as soon as they are submitted: collection progress, ratings and statistics update immediately.
Every study supports a business decision. Skipping research comes at a cost: a failed launch, a prolonged supplier dispute or a lost customer.
There are several candidate formulations, and you need to choose before going to market, based on more than three people's tastes.
A comparative study with the right sample: ratings for each product, statistical analysis of differences and data to support your choice.
An ingredient has to change. The main risk is that your regular customers will notice the difference.
Test the current and new formulations before production. Make a decision based on data, before complaints arrive.
You need to lower formulation costs while preserving product perception. The cost of getting it wrong is measured in market share.
Compare lower-cost variants against a reference to see which savings go unnoticed and which compromise taste.
The product needs to stay consistent across batches and sites, while batch assessment remains subjective.
Regular assessments on a common scale, compared with a reference. Deviations become visible as trends in the data.
From triangle tests to home use testing: 12 study types in four categories. For each, the platform builds a questionnaire, sample rotation and statistical analysis based on ISO or ASTM standards.
Configure the study type, samples, questionnaire and logic in the interface, without developers.
Randomisation, sample coding, rotation and multi-day protocols: the platform builds a valid design automatically.
Phone, tablet or computer. Respondents open the questionnaire and answer, with responses going straight into the system.
The significance of differences is calculated automatically, with a clear conclusion for each result.
Build report templates from blocks for each study type: you choose which charts, tables and conclusions to include. PDF and XLSX files are generated automatically.
An overview of studies and products: statuses, trends and results on one screen.
Company methods are stored as versioned templates, with drafts, publication and change history.
Employees or recruited consumers: the platform manages participants and groups.
Products, attributes and methods are maintained centrally and reused across studies.
The platform guides each study through samples, experimental design, questionnaires, response collection, analysis and reporting. Standards and verified calculations at every step, without manual spreadsheets.
Products and references, batches and metadata.
Randomisation, Williams rotation, randomised blocks, sessions, replicates and sample size.
10 question types: scales, ranking, selection, free text and sections.
Blind codes, serving order, QR and code-based access.
A plan built from verified statistical modules: d′, ANOVA, PCA and conclusions.
Screens, dashboards, PDF, XLSX, CSV and API: one source of numbers across every channel.
The platform formulates conclusions: whether samples differ, what consumers like and which attribute lowers ratings. Every conclusion is backed by a verified calculation: d′, ANOVA, penalty analysis or the Friedman test.
Each study type has its own report template. You decide which blocks to include and in what order, then PDF and Excel reports are generated automatically from the template.
These are 6 of the 10 question types. The set also includes sample comparison, yes/no, free text, numeric input and sections.
How much do you like sample 452?
Rate the intensity of sweetness
Saltiness of sample 917
Which words describe the sample's aroma?
Rank the samples: 1 is the tastiest
A custom scale for your method
Set your own range, anchors and labels, then save the scale as a company template
A Peritura methodology is a configuration. The platform adapts to your industry's protocols, scales and reports, from routine batch quality control to multi-day consumer studies.
Daily batch checks, reference compliance after ingredient changes, blind CTT assessments against a reference and quality trends over time.
Discrimination tests when changing hops or yeast, blind comparisons with a reference and regular checks of flavour consistency across brews.
Evidence-based reformulation: discrimination tests when reducing sugar or changing sweeteners, plus consumer assessment to maintain taste.
A pipeline of new products: hedonic tests, JAR penalty analysis, drivers of liking and preference maps in one report.
Discrimination tests for lower-cost formulations, monitoring flavour drift in flagship SKUs and blind batch checks against a reference.
Texture profiles, consistency across shifts and factories, comparisons of flour suppliers and batch freshness checks.
Digital tasting: roast profiles, sample ranking and blind batch-to-batch checks of blends.
Profiling and discrimination tests against a benchmark, with reproducible reports you can attach to a commercial proposal.
Descriptive panels for smell, texture and absorption, plus multi-day home use tests with Williams rotation: one workflow and one statistical framework.
Discrimination tests when changing fragrances, JAR aroma intensity scales and blind batch-to-batch consistency checks.
Expert kibble assessments and structured owner observation protocols: palatability, paired preference tests and home diaries.
Measuring and masking bitterness in paediatric and orally disintegrating formulations, with fully reproducible numbers and an audit trail for inspections.
Flavour range profiling, discrimination testing of suppliers and a database of in-house experts with assessment histories, under strict research requirements.
Descriptive profiles of varieties across seasons, consumer tests of breeding finalists and a shared database of flavour characteristics across years.
Blind comparisons against a leading brand, acceptance testing of private-label suppliers and a protocol with p-values to resolve quality discussions.
Consistent dishes across restaurants and central kitchens, menu testing with guests and mobile response collection right in the restaurant.
Methods, report templates and branding for each client. Onboard a new customer through configuration in days, without development.
Classical sensory analysis methods, statistics verified against published examples and assessor training on real studies.
Tests for transferred off-odours: discrimination tests against a control and acceptance of new materials, where a mistake can mean a batch recall.
Interior sensory assessment: cabin smell, the feel of plastics and leather, and discrimination tests of supplier materials. The engine is independent of the product domain.
R&D, quality, marketing and the sensory laboratory work in one space, with shared data, consistent methods and comparable reports.
Formulation iterations stall as data processing delays the journey from testing to results.
Fast comparison cycles and a history of trials for every product. Development keeps pace with the kitchen, and data stays available.
Batch assessments rely on opinion, and supplier disputes or differences between shifts cannot be resolved with numbers.
Regular ratings on a common scale, comparisons with a reference and an objective conclusion: a focused discussion instead of an argument about taste.
Taste and formulation decisions are made internally, without the consumer's voice.
Consumer tests with clear reports: what people prefer and how confidently, to support launches and positioning.
Sample arrangements, data processing and report preparation eat into time reserved for research.
The platform handles the routine work, leaving study design, work with assessors and interpretation of results: the reasons you chose this profession.
Peritura was built for companies with multiple teams, strict data requirements and their own methods.
Each company's data is isolated at the database level. Studies, methods and results are inaccessible outside your organisation.
Configure permissions around your team structure: who creates studies, who runs them and who sees the results.
Method changes are published in a controlled way. Active studies continue using their original version, so results do not change retrospectively.
Export raw data and results to XLSX and CSV at any time, without being locked into proprietary formats.
A documented API and exports for sharing data with external systems.
Email support, with questions handled directly by the product team.
Yes, this is a standard implementation scenario. Scales, questionnaires, calculation logic and report templates are configured in the builder around your practice. We work with your team on the migration.
With a pilot: we configure one or two of your real methods and run a live study. You can see the platform's value in your own data before deciding on implementation.
Each company's data is isolated at the database level and belongs to you. Raw data and results are always available: PDF and XLSX reports, raw CSV data and typed results via API. Hosting options are discussed during implementation.
The platform provides a documented API and XLSX and CSV exports. Integrations with your corporate systems are discussed during implementation.
A subscription that scales from a small team to a group with several sites. We prepare a quote after a short discussion of your requirements, without lengthy briefs.
Yes. In a demo, we talk about your tasks rather than technical terms: you describe your situation, such as changing suppliers or choosing a formulation, and we show how to address it. You do not need an established process, just a question your team wants to answer.
The interface is designed for researchers and technologists, not IT specialists. We train your team using your real studies during implementation.
Pilot terms depend on its scope and are discussed in the demo. The principle stays the same: you decide on full implementation after the pilot, when the platform's value is visible in your data.
Most likely: studies in Peritura are assembled from configurable blocks, including question types, study designs, calculations and reports. Bring your most challenging case to the demo, and we will start there.