Product memory for the agent era

Complete product context for humans and agents

Sigio turns your product stack (analytics, support, user research, CRM) into living memory for humans and agents. It remembers everything your product team has learned and compounds that knowledge as you ship more.

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Your team shipped a new onboarding flow last quarter. The user research was in one tool. The experiment data in another. The design rationale buried in a comment thread. Did it work? Probably. The numbers were better, but nobody could say exactly why. The team moved on. The context quietly dissolved.

Now the PM asks a coding agent to scaffold the next onboarding flow. The agent can read the current code, but it doesn't know which variants were tested, what converted, or why the team chose progressive disclosure over a setup wizard. That context lives in PostHog experiments, Slack threads, and design reviews. The agent, the new PM, the next team to extend onboarding? They're all starting cold.

AI made building fast. Your team ships in days what used to take weeks. But the context that should inform what to build next is still scattered across six tools, reconstructed from scratch every time. Building got fast. Deciding what to build didn't.

The hardest part of building a product is building it.
is knowing what to build, and why.

Sigio connects the signals, decisions, and outcomes across your product work so your whole team and your coding agents build from everything you've learned, not just what made it into the last document.

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What do we know about onboarding drop-off?
searching PostHog funnels
searching Intercom threads
searching past specs & outcomes
cross-referencing signals
Onboarding: Step-3 Drop-off Rising
⚠ High · Confidence: 87%
Drop-off at onboarding step 3 has increased from 12% to 18.3% over the past 2 weeks. This is the third time this area has been investigated:
  • v1 (Mar 2025) Simplified flow, drop-off fell temporarily
  • v2 (Sep 2025) Progressive onboarding, same regression after 3 months
  • 12 support threads Users confused by workspace setup step
  • PostHog funnel 73% of drop-offs are new enterprise users
Ask a follow-up question...
sigio — Claude Code
Claude Code v2.1.91
Opus 4.6 (1M context)
scaffold onboarding v3 for enterprise users
sigio Retrieving product context for onboarding...
v1 simplified flow reduced drop-off temporarily, regressed in 3 months
v2 progressive disclosure, same regression pattern after 3 months
73% of drop-offs are enterprise users at workspace setup
12 support threads cite confusion around workspace configuration
Scaffolding enterprise onboarding with guided workspace setup. Skipping patterns from v1 and v2 that regressed.
+ src/onboarding/enterprise-flow.tsx + src/onboarding/workspace-wizard.tsx + src/onboarding/setup-validation.ts

Ship a feature. Sigio monitors the signals that motivated it. Results flow back. The next decision starts from richer ground. Your team stops rebuilding the same understanding and your agents stop guessing at intent. This is what product teams look like when nothing gets lost.

A new way to build products.

Where what your team learns flows into what your agents build, and everything you ship makes the next decision smarter.

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