From raw data to shared insight — in one browser-based platform.
No learning curve required. AnalyZ guides you from raw data to shareable findings in one session.
Upload spreadsheets, SPSS files, Word docs, or plain text — or connect directly to KoBo, ODK, REDCap, or Google Sheets. Variable labels imported automatically.
Run any analysis — frequency tables, statistical tests, interview coding, relationship mapping. Quantitative and qualitative in the same session.
Every result comes with a plain-English explanation. Sense Making ties all your analyzes into one coherent narrative when you're ready.
Publish a live dashboard with cross-filtering, or a data story with charts and participant quotes — both shareable as a link. No account needed to view.
Too many researchers, evaluators, and practitioners doing meaningful work are blocked by expensive licenses, steep learning curves, or tools that handle numbers or words — never both.
AnalyZ Solutions changes that. One platform. Browser-based. Free to start.
Other tools give you one or two of these. AnalyZ gives you all four — in a single platform, with no installation required.
Bridging human intelligence to AI.
Most people juggle separate tools for numbers and interviews — two learning curves, two licenses, and a manual bridging exercise in between. AnalyZ brings it all into one workflow.
live and shareable.
Build a multi-chart dashboard and share it as a live link. Anyone can explore it in their browser with cross-filtering — click one chart and every other updates instantly.
The full journey.
AnalyZ takes you all the way — from raw data to a publishable narrative. Sense Making synthesizes your findings. Data Canvas turns them into a scrollable public story.
Private by design.
Everything is processed inside your browser — nothing uploaded to our servers. AI features work from your summaries and charts, never your raw files.

Three people. Three different contexts. One platform.
All the tools — in one place.
Analyze your survey data and your interview transcripts in the same session — no switching tools, no manual bridging. Quantitative and qualitative, side by side.
Learn more →When you're ready, Sense Making ties all your Analyzes into one coherent narrative. AI works from your results — tables, charts, and coded themes — never your raw data.
Learn more →Build interactive charts and assemble them into a shareable dashboard. Cross-filtering lets anyone explore the data live. AI-assisted interpretation per chart.
Learn more →Turn your findings into a scrollable public story — charts, infographics, and participant quotes with plain-language headlines. Publish as a link anyone can read.
Learn more →Inspect variable types, value labels, and missing values before analysis begins.
Recode, rename, reshape, merge, and clean your dataset.
Frequency tables, crosstabs, summary statistics, and publication-ready tables.
Statistical tests with effect sizes and plain-English reporting.
Validate your measurement instruments with reliability analysis and factor analysis.
Calculate sample sizes, run power analyses, and draw your sample directly from a sampling frame.
Connect directly to KoBo, ODK, REDCap, Google Sheets, and more.
Save your entire session and restore it anytime.



Chatbots can explain. AnalyZ performs — producing real, verifiable results from your actual data that you can trust, export, and share immediately.
Start for free. Upgrade when you need more.
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Practical guides to research methods.
How to calculate sample size for a cross-sectional survey
Proportions vs. means, simple random vs. cluster sampling, and non-response.
How to calculate sample size to detect a change in proportion
Independent groups vs. paired before-and-after designs.
How to calculate sample size for a randomized controlled trial
Proportion and continuous outcomes, attrition, and cluster-randomised trials.
How to calculate sample size to detect a change in a numeric outcome
The continuous-outcome counterpart to Change in Proportion.
How to calculate sample size for a longitudinal study
Baseline enrolment sizing that accounts for attrition across multiple waves.
How to calculate sample size for a case-control study
Odds ratios, controls-per-case ratios, and the Kelsey formula.
How to use LQAS to classify programme coverage
Classify coverage as pass or fail, rather than a precise estimate.
Is your study big enough? A guide to statistical power
Nine statistical tests, from t-tests to logistic regression.
How to draw a sample from your sampling frame
Select your sample directly, with reproducible random seeds.
Design effect and ICC explained
The math behind adjusting sample size for cluster sampling.
How to calculate sample size for estimating incidence rate study
Sample size calculations for estimating a single incidence rate.
How to calculate sample size to detect a change in an incidence rate
Sample size calculations for detecting a change in an incidence rate.
How to audit your data before analysis
Missing values, outliers, constants.
How to explore data before analysis
Learn how to explore your data before running any formal analysis.
How to perform a Chi-Square test
Learn how to perform a Chi-Square test and interpret the results.
How to generate a publication-ready table
Build a formatted table for reports and papers.
What is qualitative data analysis? An introduction
Understanding the fundamentals of qualitative data analysis.
How to develop thematic codes for qualitative research
Developing, managing, and applying thematic codes in qualitative research.
How to calculate inter-rater reliability in qualitative research
Compare coders' agreements and inconsistencies in qualitative data analysis.
How to know if you have collected enough qualitative data
Saturation curve to find the point of data saturation.
How to bring out group differences in qualitative research
Comparing experiences and perspectives across different groups in qualitative research.
Inductive vs deductive coding in qualitative research
Differences between inductive and deductive coding approaches in qualitative research.
How to uncover relationships between themes in qualitative data
Explore how to use network mapping, co-occurrence analysis, and code sequences.
How to create personas in qualitative research
Learn how to generate personas from qualitative data.
Can't find what you're looking for? Email support@analyz.solutions or check our full user guide.