--- title: "Testing Empty States and Error Messages With AI Panels | Minds" canonical_url: "https://getminds.ai/blog/testing-empty-states-error-messages-ai-panels" last_updated: "2026-06-05T11:38:40.988Z" meta: description: "Empty states and error copy are the microcopy most product teams ship untested. Here's how to use AI panels to pre-test the moments that quietly drive churn." "og:description": "Empty states and error copy are the microcopy most product teams ship untested. Here's how to use AI panels to pre-test the moments that quietly drive churn." "og:title": "Testing Empty States and Error Messages With AI Panels | Minds" "twitter:description": "Empty states and error copy are the microcopy most product teams ship untested. Here's how to use AI panels to pre-test the moments that quietly drive churn." "twitter:title": "Testing Empty States and Error Messages With AI Panels | Minds" --- April 20, 2026·How-to·Minds Team # **Testing Empty States and Error Messages With AI Panels** Empty states and error copy are the microcopy most product teams ship untested. Here's how to use AI panels to pre-test the moments that quietly drive churn. [Try Minds free](https://getminds.ai/?register=true) # Testing Empty States and Error Messages With AI Panels Look at the last product you shipped. Open it in a fresh account. Count how many empty states you hit in the first ten minutes. Count how many error messages, toasts, and "something went wrong" modals you trigger before you finish a single core task. Now ask yourself: who wrote that copy? In most product orgs, the answer is "a developer, at 4:47pm on a Friday, two sprints ago, in an unreviewed PR." Empty states and error messages are the last-mile microcopy of every product. They show up at the most vulnerable moments in the user journey. And they are almost never tested before shipping. AI panels let you fix that without slowing down the sprint. ## Why These Moments Matter More Than Teams Realize Empty states and errors are not cosmetic. They are high-leverage conversion moments disguised as edge cases. **Empty states are the first meaningful piece of product copy a new user reads.** The first dashboard. The first inbox. The first project list. The user arrives expecting value. The product responds with "No items yet. Click here to get started." The user has just been told the product does nothing until they do more work. That is a churn moment dressed as a blank screen. **Error messages are the moments when user trust is most fragile.** Something broke. The user does not know whose fault it is, how bad it is, or what to do next. The copy in that toast determines whether the user forgives you, files a ticket, or uninstalls. **Both moments are where tone gets exposed.** A product that feels friendly in the homepage and clinical in the error modal creates a dissonance users feel but cannot articulate. That dissonance erodes brand affinity over time. Most teams understand this in principle. They still ship untested microcopy because traditional user research cannot operate at the pace of product development. A panel can. ## The Pre-Ship Microcopy Panel Here is a workflow that fits inside a standard product sprint. **Build a "first-touch" panel.** Profiles matching your new-user ICP. Include the psychographic context that matters for onboarding: someone who just signed up, has limited context on your product, has tried two or three competitors this month, and is deciding in the first session whether to return tomorrow. This panel sees the product through fresh eyes, which is exactly the perspective empty states need. **For empty states, test three questions.** First, the comprehension question: "Here is the screen you land on after signing up. What do you think this product does? What are you supposed to do next?" Second, the motivation question: "What would make you click the primary CTA? What would make you close the tab?" Third, the variant question: Drop three versions of the empty state. Let the panel compare. The differences will surface faster than an internal debate. **For errors, test the failure spectrum.** Build a panel of existing users (different profile) and run three scenarios: a recoverable error (form validation), a transient error (API timeout), and a catastrophic error (data loss or auth failure). The copy, tone, and recovery path should differ sharply across these three, but most products use near-identical language. Panels catch the mismatch in minutes. **Ask the panel the tone question explicitly.** "Does this error message make you feel more or less confident in the product? Does it feel corporate, personal, clinical, or condescending?" Tone feedback is where most error copy fails. ## What Panels Tend to Surface After running this workflow across several teams and products, a few patterns repeat. **Empty state CTAs are too vague.** "Get started" underperforms specific verbs tied to the product's core action. "Invite your first teammate" beats "Get started" on nine out of ten panels. **Illustrations distract from the CTA.** Panels often mention "I looked at the drawing before I looked at the button." If the goal is conversion, the illustration is a tax. **Errors are often too apologetic.** "We are so sorry, something went wrong, please try again" reads as evasive. Panels prefer direct, specific, and action-oriented: "Your request timed out. Try again, or refresh if the problem continues." **Errors rarely explain what the user should do.** The default is to describe what happened. Panels consistently want the next step first, the explanation second. **Tone inconsistency is visible immediately.** A product that is warm in marketing and stiff in errors gets flagged by users who have not yet formed a brand opinion. Panels notice it in the first comparison. These patterns are not novel. They are the same patterns UX writing experts have published for a decade. The difference is that panels let you apply them to your product, with your users, at sprint speed. ## Building Microcopy Testing Into the Sprint The workflow only scales if it fits inside how product teams already work. **In the design phase:** The designer drops the proposed empty state or error into the panel as part of the design review. No extra meeting. Fifteen minutes of async work, output pasted into the Figma comments. **In the PR phase:** For copy-only changes, the engineer opens a panel comparison of the current versus proposed string. Reviewer sees the panel output in the PR description. Approval happens with evidence. **In the post-ship phase:** After a feature ships, the product manager runs a panel on the empty state with actual adopters to validate the pre-ship assumption. Two or three of these per quarter close the loop on microcopy quality. None of these require new tools, new roles, or new approval processes. They just require microcopy to be treated as testable content rather than committee output. ## The Compounding Effect Here is what makes this worth the investment. Microcopy improvements compound across the product. A better empty state does not just improve that one screen. It sets the tone for every subsequent empty state in the product, because designers start copying the pattern that tested well. A better error message does not just save one user. It establishes a voice that propagates across the error surface. Teams that test microcopy systematically end up with more coherent products, not just better strings. The brand starts to feel consistent because the last-mile copy is no longer random. ## Start With the Screen That Hurts Most If this is new to your team, pick the single worst empty state or error message in your product. The one everyone internally cringes at. Build a panel. Run a comparison. Ship the winner. That single case makes the argument for the broader workflow. Teams that see a clear lift on one high-profile moment typically extend the practice to five or ten more within a quarter. Empty states and error messages are where products quietly bleed users. AI panels let you stop the bleeding in a single sprint.