You ran a cognitive accessibility audit on your landing page, found twelve issues dragging down conversions, and now your co-founder wants proof before approving any design changes. Screenshots of a browser extension do not cut it in a board deck or a Slack thread with your agency. A clean CSV export turns raw audit data into a shareable, sortable, filterable artifact that stakeholders actually read and act on.

Export CSV Reports From Page Person for Stakeholder Reviews
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TL;DR:
  • Open PagePerson Insights on any page, run the audit, and click the CSV export button to download a structured report.
  • The CSV includes issue type, severity, affected element, and recommended fix, ready for spreadsheets or project management imports.
  • Filtering and annotating the CSV before sharing turns a raw data dump into a stakeholder-ready action plan that ties cognitive barriers to conversion impact.

Why CSV Reports Matter for Conversion

Stakeholders do not live inside your browser. They live in Google Sheets, Excel, Jira, and Monday.com. When you surface a cognitive accessibility issue like confusing microcopy on a pricing page, the person who approves the fix needs context they can sort, filter, and forward.

0%
Visitors Who May Struggle With Your Site

That number is not hypothetical. Cognitive barriers affect a significant share of your traffic: people with ADHD skimming too-dense paragraphs, anxious first-time buyers confused by ambiguous CTAs, or anyone on a phone with three tabs open. A CSV report captures each barrier as a discrete, trackable row. No interpretation needed. No "trust me, I saw it in the extension."

Three reasons CSV beats screenshots for stakeholder reviews:

  1. Sortable by severity so decision-makers see the highest-impact issues first.
  2. Importable into project tools like Jira, Linear, Asana, or Trello with zero reformatting.
  3. Diffable over time so you can compare this week's audit to last month's and show progress.
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Common Mistakes With Audit Exports

Before walking through the export steps, here are the traps that waste time:

  • Exporting before filtering. A full-site dump with 200 rows overwhelms a non-technical stakeholder. Export only the page or section under review.
  • Skipping severity labels. A flat list of issues with no priority ranking looks like busywork. Stakeholders need to see "critical" vs. "low" at a glance.
  • Sending raw CSV without context. A spreadsheet attachment with no summary email or cover note gets ignored. Always pair the file with a two-sentence explanation of what it contains and what you recommend.
  • Not mapping issues to revenue impact. A row that says "confusing CTA text on /pricing" is useful. A row that also notes "this page gets 4,000 visits/month and converts at 1.2%" is persuasive.
Pro tip: Add a "Revenue Impact" column to your exported CSV before sharing. Even a rough estimate (low / medium / high) helps stakeholders prioritize without asking you follow-up questions.

Step-by-Step Export Process

This is the core workflow. Five steps, under three minutes.

Export CSV Reports From Page Person for Stakeholder Reviews process
Figure 1: Export CSV Reports From Page Person for Stakeholder Reviews at a glance.
  1. Open target page. Navigate to the URL you want to audit in Chrome.
  2. Run audit. Click the PagePerson Insights extension icon and start the cognitive accessibility scan.
  3. Review results. The extension displays issues grouped by category: readability, cognitive load, navigation clarity, CTA comprehension, and form complexity.
  4. Click Export CSV. Hit the export button in the extension panel. The file downloads immediately with a timestamped filename.
  5. Open and annotate. Open the CSV in Google Sheets or Excel. Add columns for owner, priority override, or revenue impact before sharing.
Each row in the exported CSV typically contains:
  • Issue ID for tracking
  • Category (e.g., cognitive load, readability)
  • Severity (critical, high, medium, low)
  • Affected element (CSS selector or description)
  • Page URL
  • Recommendation (plain-language fix suggestion)
Time Saved vs. Manual Audit Documentation
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Compared to manually documenting each finding in a spreadsheet, the CSV export handles the tedious part. You spend your time on annotation and prioritization instead of data entry.

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Prepare the CSV for Stakeholders

A raw export is a starting point. A stakeholder-ready report is a finished product. Here is how to bridge the gap.

Filter ruthlessly. If you are presenting to a marketing lead, remove rows about form field tab order. Keep issues that directly affect messaging clarity and CTA comprehension. If you are presenting to engineering, keep everything but sort by implementation effort.

Add a summary tab. In Google Sheets, create a second tab called "Summary" with:

  • Total issues found
  • Breakdown by severity (e.g., 3 critical, 7 high, 12 medium)
  • Top 3 recommended fixes with estimated conversion impact
  • Date of audit and URL audited
Color-code severity. Conditional formatting takes 30 seconds. Red for critical, orange for high, yellow for medium, green for low. Stakeholders scan colors faster than text.

Here is an example of how a typical stakeholder-ready CSV looks after annotation, based on a SaaS landing page audit:

Annotated CSV Preview

SaaS pricing page audit, 2026-08-28
IssueSeverityElementOwner
Ambiguous CTA labelCritical.hero-btnMarketing
Pricing table cognitive overloadCritical#pricing-gridDesign
Jargon in feature listHigh.features ulMarketing
No error recovery on formHigh#signup-formEngineering
Low contrast helper textMedium.form-hintDesign

Workflows That Scale

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Once you have the export habit, build a repeatable workflow around it.

Weekly audit cadence. Pick one high-traffic page per week. Run PagePerson Insights, export the CSV, annotate it, and drop it into a shared Google Drive folder. Over a month you build a library of audits that shows trends.

Jira/Linear integration. Most project management tools accept CSV imports. Map the "Issue" column to ticket title, "Severity" to priority, "Recommendation" to description, and "Affected element" to a custom field. One import creates a sprint's worth of tickets.

Before/after comparisons. Save each export with a date in the filename (e.g., pricing-audit-2026-08-28.csv). After fixes ship, re-run the audit and export again. A simple VLOOKUP or INDEX/MATCH between the two files shows which issues were resolved and which persist.

Manual DocumentationCSV Export Workflow
30-45 min per pageUnder 3 min per page
Inconsistent formatStandardized columns every time
Hard to diff over timeDate-stamped files, easy comparison
Copy-paste into JiraDirect CSV import into Jira/Linear
Subjective severityExtension-assigned severity levels
0%
Reduction in Audit Documentation Time
Key takeaway: Exporting a CSV from PagePerson Insights takes seconds, but annotating it with severity filters, owner assignments, and revenue impact context is what turns raw data into a stakeholder decision tool.
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CSV Export Checklist for Stakeholder Reviews

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FAQ

Frequently Asked Questions

This guide is for founders, growth leads, and product owners who run cognitive accessibility audits with PagePerson Insights and need to share findings with stakeholders who do not use the extension themselves. If you present audit results to co-founders, investors, agency partners, or engineering teams, the CSV export workflow gives you a structured, professional format they can act on.
The raw export takes under 30 seconds. Annotating the CSV with owner assignments, severity color-coding, and a summary tab adds 10 to 15 minutes for a typical page audit with 15 to 30 issues. The entire process from opening the extension to sending a stakeholder-ready spreadsheet fits inside 20 minutes.
Filter the CSV by severity so critical issues appear at the top. Then add an "Owner" column and assign each row to the team or person responsible for the fix. This single step transforms a data dump into an action plan. Stakeholders respond to clear ownership faster than to a generic list of problems.
Yes. Both Jira and Linear support CSV imports. Map the issue description to the ticket title, severity to priority, and the recommendation column to the ticket description. You may need to adjust column headers to match your project tool's expected format, but no data transformation is required.
A weekly cadence works well for high-traffic pages that change frequently (pricing, homepage, signup flow). For stable pages, a monthly audit is sufficient. The key is consistency: dated exports let you track progress and demonstrate to stakeholders that fixes are reducing cognitive barriers over time.
The export covers the specific page you audited. If you need a site-wide report, run the audit on each key page separately and combine the CSVs into a single spreadsheet with a "Page URL" column for filtering. This approach keeps each audit focused while giving you a consolidated view when needed.

What does your current process for sharing audit findings with stakeholders look like, and where does it break down?