Sample Size Calculation Software for Statisticians

Let your AI agent handle sample size calculations and build tailored data collection plans for your next research project—no more manual formulas or formatting.

You spend hours in Excel, R, or SPSS calculating sample sizes, cross-checking formulas, and formatting documentation for each new study. As a statistician or research analyst, you juggle emails from stakeholders and version control in Google Drive, risking errors and wasted time with every manual update.

An AI agent that creates detailed sample size calculations and structured data collection plans for research, clinical, and survey projects.

What this replaces

Extract project requirements from Word briefs and emails
Calculate sample sizes in Excel or R for each study
Draft and format data collection plans in Google Docs
Justify methodology choices to stakeholders via email
Double-check statistical assumptions in SAS outputs

The hidden cost

What this is really costing you

In technology and life sciences, statisticians and research analysts must calculate sample sizes and design data collection plans for every project. Pulling requirements from project briefs, running formulas in R or SAS, and documenting methodology in Word eats up valuable hours. Each manual step increases the risk of calculation errors, inconsistent documentation, and missed assumptions—especially when collaborating across teams using Google Sheets and email.

Time wasted

1.5 hrs/week

Every week, burned on work an AI agent handles in minutes.

Money lost

$3,375/year

In salary, missed revenue, and operational drag — annually.

If you keep ignoring it

Calculation errors can lead to flawed study designs, rejected grant proposals, or non-compliance with IRB standards. Missed assumptions may cause costly rework or delays in clinical trials.

Cost estimates derived from U.S. Bureau of Labor Statistics occupational wage data and O*NET task analysis.

Return on investment

The math speaks for itself

Today — without agent

1.5 hrs/week

of manual work

$3,375/year/ year

With your AI agent

15 min/week

agent-handled

$675/year/ year

You save

$2,700/year

every year, reinvested into growing your business

Estimates based on U.S. Bureau of Labor Statistics median salary data and O*NET task importance ratings from worker surveys. Time savings assume 80% automation of eligible task components.

Jobs your agent handles

What this agent does for you

Complete jobs, handled end-to-end — so your team focuses on what matters.

Designing a clinical trial protocol

You ask your agent to recommend a data collection method and calculate the minimum sample size for a new clinical study.

Preparing a grant proposal

You ask your agent to generate a data collection plan section, including sample group details and methodology justification, for a funding application.

Reviewing a survey-based project

You ask your agent to analyze project requirements and suggest the most suitable sampling technique for a large-scale survey.

Validating assumptions for a pilot study

You ask your agent to check if your chosen sample size and data collection approach fit the project’s constraints and statistical assumptions.

How to hire your agent

1

Connect your tools

Link your existing statistical analysis, data management, and documentation tools.

2

Tell your agent what you need

Type: 'Plan a data collection method for a product usage study with a 95% confidence level and recommend the sample size.'

3

Agent gets it done

Receive a structured data collection plan with recommended methods, sample size calculations, and a formatted document ready for review.

You doing it vs. your agent doing it

Manually read through project briefs and extract relevant variables.
Agent summarizes key requirements automatically.
30 min/project
Use statistical formulas and calculators for each scenario.
Agent computes and documents sample sizes instantly.
20 min/project
Write and format methodology sections from scratch.
Agent generates a complete, formatted plan document.
30 min/project
Double-check all parameters and formulas by hand.
Agent reviews and flags inconsistencies in input assumptions.
10 min/project

Agent skill set

What this agent knows how to do

Requirement Extraction

Pulls objectives and constraints from uploaded project briefs or grant proposals, then generates a structured summary for planning.

Sample Size Computation

Applies statistical formulas using your input parameters from Excel or R, and outputs a clear sample size report.

Method Selection

Recommends optimal data collection techniques based on project context and industry standards, referencing frameworks like GCP or FDA guidelines.

Plan Documentation

Drafts formatted data collection plan documents ready for IRB or grant submission, including methodology justification and sample group details.

Assumption Review

Checks your statistical inputs and flags inconsistencies or missing assumptions, providing a summary report for review.

AI Agent FAQ

Yes, your agent analyzes complex protocols and suggests methods for each phase. For highly specialized trials, human review is recommended to ensure regulatory compliance.

Sample sizes are computed using standard statistical formulas and your project parameters. The agent supports calculations for surveys, clinical trials, and experiments. Always validate outputs against your specific context.

You can upload exported data or parameters from R, SAS, or SPSS. Direct API integrations are planned for future releases to streamline workflow.

Absolutely. Specify your formatting preferences—such as NIH grant sections or IRB requirements—and the agent will tailor the document output accordingly.

All data is encrypted in transit via TLS 1.3 and deleted after processing. The agent never stores sensitive information. For HIPAA or GDPR compliance, consult your organization's data policies.

Your AI agent automates sample size calculations and plan generation, reducing manual work in Excel, R, or SPSS. Some oversight is still needed for highly specialized analyses.

See how much your team could save with AI

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