Weeks of research.
60 seconds.
Your team spends 3-6 weeks manually reading tickets, checking analytics, and debating priorities. SigOS does it autonomously—and tells you exactly what to build, with dollar signs attached.
It's Cursor for product management. AI that does the research for you, not with you.
Product decisions shouldn't take 6 weeks
Every time you need to answer "What should we build?" your team does the same manual, biased research process.
The Manual Process
- Week 1-2: Discovery
Reading 500+ support tickets manually. Hours in Zendesk.
- Week 3-4: Analysis
Jumping between Mixpanel, Amplitude, Stripe exports.
- Week 5-6: Alignment
Debating priorities based on "gut feel" and politics.
Result: Slow, biased, often wrong priorities
Autonomous Research
AI Does the Research For You
SigOS automatically connects feedback, usage data, and revenue. When a pattern emerges—like a bug causing churn—it alerts you immediately with the dollar amount attached.
The 4-Layer Intelligence System
SigOS automatically connects four data layers that your team currently jumps between manually. This is how weeks of research become seconds.
Every product decision, every day
Not just for quarterly planning. Autonomous research for every question your team asks.
"What should we build next?"
AI analyzes all feedback, finds patterns in user behavior, ties to revenue impact, and recommends features that will actually drive growth.
Example Output:
"Advanced analytics requested by 47 users with $84K avg contract value. Users who request this have 3.2x higher LTV."
"Is this bug worth fixing?"
AI shows exactly which bugs impact revenue, which cause churn, and which are just noise. Every issue gets a price tag.
Example Output:
"Auth timeout bug: $47K/mo MRR at risk from 12 enterprise accounts. 87% correlation with churn within 30 days."
"Why are customers churning?"
AI identifies root causes by correlating churn events with feedback, product usage, and behavioral patterns you'd never spot manually.
Example Output:
"Mobile performance complaints correlate with 65% drop in session time. $890K annual revenue at risk."
"Did that fix work?"
AI measures before/after impact automatically. See if that feature actually drove adoption, if that bug fix reduced churn, with hard numbers.
Example Output:
"Checkout fix deployed 14 days ago. Complaints down 78%. Revenue recovery: $47K/mo. 2-week payback on engineering time."
Autonomous intelligence, not just AI assistance
ChatGPT helps you ask better questions. SigOS answers them autonomously—and does the research for you.
Assistive AI Tools
ChatGPT • Claude"Can you help me analyze this support ticket data and tell me what customers are asking for?"
Result: You're still doing the research
SigOS Autonomous AI
Purpose-Built"Login bug: $47K/mo risk from 12 enterprise accounts. 87% churn correlation. Fix checkout flow first."
Result: AI did the research for you
Like asking
"Can you help me code this?"
ChatGPT suggests approaches
Like saying
"Write this function"
Cursor writes the code
Assistive AI helps you work. Autonomous AI does the work.
SigOS is Cursor for product management.
Product teams eliminating weeks of research
See how teams are making faster, more confident decisions with autonomous intelligence.
"We used to spend 3 weeks on quarterly planning, manually reading tickets and debating priorities. SigOS found a $47K/mo checkout bug in 2 minutes—one our support team had missed for months. Decision made with data, not politics."
Jordan H.
VP Product
$40M ARR FinTech
Saved: 3 weeks per quarter
"Instead of guessing what enterprise customers wanted, SigOS showed us 'users requesting advanced analytics have 3.2x higher LTV.' Built it. Closed three 6-figure deals in the first quarter. Finally confident we're building the right things."
Alex S.
CPO
$25M ARR B2B SaaS
Confidence: Data-backed decisions
"We were manually trying to diagnose why mobile users churned. SigOS correlated specific crashes with a 40% usage drop and churn within 45 days. Fixed those issues. Churn cut by 65%. Would've taken us months to find that pattern."
Maria K.
Head of Product
$15M ARR Mobile App
Impact: $890K churn prevented
Results representative of typical outcomes. Names and details anonymized.