Fix Manufacturing Software Before the Shop Floor Finds the Bugs

Your operators, engineers, and plant managers know exactly where your software slows them down. TheySaid's AI user testing manufacturing platform watches them navigate your systems in real time, capturing screens and voices to show you where complexity kills adoption and friction creates costly workarounds.

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Why Manufacturing Companies Choose AI User Testing

Drive Faster Software Adoption Across Your Workforce

Manufacturing software that confuses operators on day one gets abandoned in favor of paper logs and manual workarounds. TheySaid captures where onboarding fails to build confidence, which workflows require too many steps, and what training gaps are driving avoidance, so you can fix adoption barriers before they become production inefficiencies.

Reduce Operator Errors by Fixing Confusing Interfaces

In manufacturing environments, a confusing interface does not just create frustration. It creates mistakes. Usability testing for manufacturing software surfaces the screens, inputs, and confirmation flows that increase error risk so you can simplify critical workflows before a usability problem becomes a quality or compliance issue.

Give Your Development Team Evidence From the Floor, Not the Boardroom

Software decisions made in conference rooms rarely account for what a plant manager needs at shift change or what an operator can realistically read on a shop floor terminal. TheySaid puts real end users in sessions that surface what the team building the software rarely sees firsthand.

Validate Software Updates Before They Disrupt Active Production Lines

A confusing interface change pushed to operators mid-shift stops production, floods your support desk, and erodes trust in the platform. Product validation manufacturing software testing with TheySaid catches usability problems before rollout so updates improve workflows rather than interrupting them.

Test Across the Roles That Actually Touch Your System Every Day

ERP systems, MES platforms, and quality management tools serve operators, supervisors, quality engineers, and plant managers differently. Manufacturing UX research across each role reveals where the same interface creates very different experiences depending on who is using it and under what conditions.

How Manufacturing Teams Use Industrial Software User Testing

Operator Onboarding and Training Flow Testing

Watch new operators complete setup tasks, navigate core workflows, and use your system for the first time without assistance. AI captures where instructions are unclear, which terminology creates confusion for non-technical users, and where operators abandon the system and revert to manual processes.

ERP and MES Interface Usability Testing

Understand whether plant managers and supervisors can complete critical tasks in your ERP or MES platform without excessive clicks, unclear menus, or dead ends. Workflow testing manufacturing systems reveals where complex functionality creates unnecessary friction for the people who need it most.

Quality Management System Testing

See how quality engineers navigate inspection checklists, non-conformance reporting, and audit workflows. AI captures where documentation steps are ambiguous, which required fields slow the process, and where the system fails to match how quality processes actually work on the floor.

Mobile and Tablet Interface Testing for Floor Operations

Test how operators interact with your software on handheld devices and floor terminals under real production conditions. AI captures where tap targets are too small, where screen layouts do not account for gloved hands or low-light environments, and where mobile workflows diverge from what operators actually need.

Software Update Validation Before Production Rollout

Test interface changes, new module releases, and workflow updates with a representative group of real users before deploying across your facility. Onboarding testing manufacturing software at this stage catches adoption blockers while changes are still inexpensive to fix.

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See what customers say about our AI user testing platform

"Implementing TheySaid has led to a 5-10% increase in qualified leads from our existing customers in just a few months while reducing churn. The results speak for themselves."

Alex Farmer

Chief Revenue Officer @ Nezasa

"TheySaid's AI Surveys helped us step up our insight gathering game. It's smarter and more engaging for customers."

Maggie C.

VP, Product Design @ ClickUp

"How did TheySaid AI come up with such great question recommendations? These are questions that our teams really want to know and discussed internally a lot. I am impressed!"

Brook P.

VP, Marketing @ DX

"Integrating TheySaid has been a game-changer. We've seen a 5-10% decrease in customer churn with an increase in upsell opportunities since its implementation."

Srikrishnan Ganesan

Co-Founder & CEO @ Rocketlane

"Really easy to use and I think this might be one of the best ways to engage with your customers! Platform will really boost your customer engagement."

Danny L.

Co-Founder

FAQs

Can we test with our actual operators and engineers rather than generic panels?

Both. Share test links directly with your workforce through email, internal communications, or direct links on floor terminals. Or recruit from TheySaid's panel with targeting by job role, industry, and software experience if you need specific profiles like ERP administrators, quality engineers, or production supervisors.

How does TheySaid handle testing with non-technical operators who may not be comfortable with research sessions?

TheySaid sessions run entirely in a browser with no downloads or account creation required. Participants click a link, grant screen and voice permission, and complete tasks naturally. AI moderates the session conversationally, which most users find straightforward regardless of their technical background.

Can we test software that requires a login or runs behind a firewall?

Yes for browser-accessible systems. Share test links with participants who already have credentials to your platform, or provide login details as part of the session setup for recruited participants. Systems that require VPN access or run on closed networks would need to be accessed from a participant's authorized device.

How does user feedback in manufacturing software get surfaced after sessions complete?

AI analyzes every session and groups findings into themes ranked by frequency. You see which usability issues appeared most often across participants, the specific screens and workflows where they occurred, and AI-generated recommendations for each issue, without watching a single full recording yourself.

How quickly can we get results before a planned software rollout?

Most manufacturing teams see meaningful patterns within 24 to 48 hours of launching a test. Continuous user feedback manufacturing programs can be set up as standing projects that collect ongoing input from operators and engineers between major releases, not just before them.

Can we test the same workflow across different roles to compare experiences?

Yes. Run separate test plans for operators, supervisors, and quality engineers completing the same workflow and compare how the experience differs across roles. Manufacturing UX research across user types often reveals that interfaces optimized for one role create significant friction for another.

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