Three ways to show what behind-peers looks like.
Benchmark is Auditborb's peer-comparison surface for pre-IPO Controllers running first-year SOX programs. It answers the question every Controller asks their CFO: "are we on track relative to the companies that already filed?"
This page is the internal preview of three formats explaining the concept. All data is mocked; the customer is the same fictional Helios Robotics from the rest of the family. The story: Helios is at T-8 months, behind on Big 4 walkthroughs, above-median on open deficiencies, and needs budget.
The full dashboard
All 7 nav tabs, six metric cards, drill-into-metric drawer with charts and peer commentary, industry/revenue/auditor filters with cohort N chips. Closest to what the real product would feel like.
Bets on Scenario 2 — System of Record Premium; cross-hedges Scenario 1. Productizes the cohort data foundation models cannot replicate. Sample-size honesty (N<10 chips) is audit-grade defensibility no platform layer can ship without Optro's tenant graph.
Full strategic analysis
- 47-peer cohort with industry / revenue / auditor filters yields real percentile comparisons and distribution histograms.
- Sample-size honesty (N<10 yellow chips) is methodological seriousness foundation models cannot shortcut.
- Time-series + distribution charts make "we have data Anthropic doesn't" concrete and citable in renewal RFP responses.
- Real customer cohort assembly — N=47 is mocked.
- Legal review for anonymized peer data.
- Consent / opt-in mechanic for customers contributing their data to the cohort.
The CFO pitch view
One page. The gap, the peer cohort evidence, and the budget ask. What the Controller actually walks into the CFO meeting with — designed to print as a 1-2 page board memo.
Bets on Scenario 2 — System of Record Premium. Demonstrates customer willingness-to-pay for cohort-grounded recommendations. The $450K / $180K ask anchors the data product line's pricing thesis.
Full strategic analysis
- Cohort-derived budget asks carry decision authority CFOs respond to.
- The same memo template ladders up to specific spend lines:
$450K Deloitte catch-up + $180K remediation lead. - Data-driven budget conversation without Big 4 markup — Optro becomes the trusted advisor without the engagement-letter cost.
- Whether the cohort actually justifies these specific dollar amounts (mocked).
- CAC for the data product line.
- Positioning vs Gartner / Forrester / incumbent benchmark vendors.
Anton's story
Long-scroll narrative. Anton at Helios is 8 months from filing. Every metric tells him he's behind. The page is the story of what he discovers and what he does next.
Bets on Scenario 2; cross-hedges Scenario 4. Frames proprietary cohort data as the retention wedge against AI-Native Newcomers. Every metric anchored on a 47-peer comparison newcomers cannot synthesize at acquisition.
Full strategic analysis
- Cohort = structural moat — no newcomer can synthesize 47 peers at acquisition.
- Customer experience anchors on Optro data, not Optro features.
- Data + workflow ownership = defensibility under both S1 (wrapper) and S4 (newcomer) pressures.
- Whether the cohort compounds at scale.
- Cold-start problem for new tenant cohorts.
- Defenses against newcomers scraping public S-1 filings for comparable benchmarks (real risk).