Product Intelligence OS Now in private beta

From customer signal to shipped feature โ€” automatically.

zokKU is the AI co-pilot built for Product Managers. It listens to your customers, extracts what matters, and generates the PRDs, specs, and tickets your team can ship from โ€” without spreadsheets or chaos.

โœ“ Built for founders & PMs โœ“ Private beta launching soon โœ“ No credit card required
Trusted by 200+ product leaders in private beta

Product management is 10x faster with AI context.

3 Min

You spend 2 days writing a PRD. Time to first PRD from a call recording.

10 Min

You spend 4 hours compiling signals. Answer "what should we build next?" with evidence.

5 Hrs

Stop losing 40% of your week to documentation. Saved per week on documentation and synthesis.

Built to think, not just record.

Other tools help you organize work. zokKU helps you decide what work to do โ€” and then does the documentation for you.

โœ— Traditional Tools

  • Feedback graveyards โ€” data in, nothing actionable out
  • Manual RICE scoring โ€” your gut, dressed up as a framework
  • Zero institutional memory โ€” starts from scratch every session
  • No artifact generation โ€” you still write the PRD yourself
  • Generic AI (ChatGPT, Claude) โ€” no product context or memory
  • Copy-paste from PRD to Jira โ€” every. single. ticket.
  • Insights without evidence โ€” "trust me" recommendations

โœ“ The zokKU Way

  • Active decision engine โ€” extracts, clusters, recommends
  • Goal-driven prioritization โ€” OKRs become a backlog automatically
  • Compounding Memory Graph โ€” grows smarter the longer you use it
  • Six artifact types generated โ€” PRD, spec, tickets, roadmap, updates, UX
  • PM-native context โ€” remembers your product, customers, and decisions
  • One-click to Jira / Linear โ€” scoped tickets with acceptance criteria
  • Evidence-linked everything โ€” every claim traceable to source data

From signal to ship.

A six-layer intelligence engine designed for clarity and speed.

01. Capture

Auto-sync from Gong, Intercom, HubSpot, Slack & 15+ sources. No manual tagging.

02. Understand

AI clusters feedback into themes, scores frequency vs. intensity, tags by persona.

03. Prioritize

Goal-driven RICE scoring. Set an OKR โ€” zokKU tells you what to build first.

04. Generate

One command = PRD, tickets, roadmap, or stakeholder update. Evidence-linked.

05. Ship

Push scoped tickets to Jira, Linear, or GitHub in one click. Loop closed.

06. Learn

Tracks outcomes post-ship. Every decision makes future recommendations sharper.

// 23 Gong calls + 142 Intercom tickets ingested
// Analyzing customer signals...
/prd Notification preferences system
โ€”โ€” PRD: Notification Preferences โ€”โ€”
Problem: 31 customers reported notification
fatigue, correlated with 18% churn โ†‘
Goals: โ†“ unsubscribes 40%, โ†‘ engagement
Personas: Enterprise Admin, Solo PM, End User
โœ“ Generating user stories... done
โœ“ Generating acceptance criteria... done
โœ“ Linking evidence (14 sources)... done
Export: notion โ†— jira โ†— linear โ†—
โฑ Evidence linked from 8 calls, 6 tickets, 1 NPS
$

One command. Any output.

No forms to fill in. No templates to fight. Just type what you need โ€” zokKU knows your product context already.

/prd
/insights
/prioritize
/roadmap
/tickets
/update
/compare
/persona
/memory
/simulate
// /prd โ†’ Generate a complete Product Requirements Document
// Pulls from: 23 calls ยท 142 tickets ยท 4 CRM segments

Generating PRD for "Notification Preferences"...
โœ“ Problem statement extracted (31 customer mentions)
โœ“ User personas mapped (3 segments)
โœ“ Acceptance criteria generated (12 items)
โœ“ Evidence linked (14 sources, traceable)
โ†’ Export to Notion ยท Jira ยท Linear ยท DOCX ยท PDF

Start with your goal. We'll tell you what to build.

Most PM tools fail at connecting OKRs to the backlog. zokKU works backwards from any business objective.

Your goal
"Improve 30-day retention by 20% this quarter"
โ†“
zokKU recommends
Fix onboarding checklist for free-plan users
Affects 67% of churned users in last 90d
High impact
Add email digest for inactive users (day 7)
23 requests across calls + tickets
High impact
Reduce time-to-first-value in onboarding
Correlated with 31% higher week-4 retention
Medium impact

The thing most PM tools fail at completely

You set OKRs every quarter. But translating "improve retention" into a prioritized feature list โ€” with actual evidence โ€” takes days of manual synthesis. zokKU does it in minutes.

Every recommendation links back to specific calls, tickets, and behavioral data. When your VP asks "why are we building this?" โ€” you have the receipts.

  • Multiple concurrent goals with relative weighting
  • Estimated timelines and expected impact per recommendation
  • Tradeoff analysis โ€” what you gain, what you deprioritize, what risks you take on

Every recommendation has a receipt.

zokKU never shows you a recommendation without traceable source data. Every insight links directly to the specific calls, tickets, and data points that generated it.

Users must be able to set notification frequency per channel (email, push, in-app)

Gong "We're getting too many emails. My team has basically unsubscribed." โ€” Acme Corp, Enterprise
Intercom Ticket #4821: "Can I turn off daily digest but keep urgent alerts?" โ€” 3 duplicates
HubSpot CRM note โ€” Renewal at risk: notification fatigue cited in 2 of last 3 expansion calls

This is what makes zokKU different from a generic AI assistant. Every output is grounded in your actual customer data โ€” not hallucinated patterns or generic best practices.

  • Confidence scores on every AI output โ€” the system communicates its uncertainty
  • Every recommendation has a "Why?" button showing the full reasoning chain
  • Human approval required before any external action โ€” you're always in control
  • All AI-generated output clearly labeled โ€” no false confidence

The PM who never forgets.

Every decision, every rationale, every outcome โ€” stored in a searchable graph. The longer your team uses zokKU, the more it knows about your product.

Ask your product's history anything

"Why didn't we build the export feature last year?"

โ†’ Q3 2025: Deprioritized due to low enterprise demand (4 mentions). Engineering estimated 3-week effort. Revisit if demand increases. Now at 19 mentions.

"What features have we shipped for enterprise vs. SMB?"

โ†’ Enterprise: SSO, audit logs, custom roles (3 features). SMB: CSV import, templates, bulk actions (5 features).

"Have we tried solving the onboarding problem before?"

โ†’ Yes โ€” Q1 2025. Onboarding checklist shipped. Reduced drop-off by 12%. Incomplete for mobile users. Related open problem detected.

Company Memory Graph โ€” acme-saas
โ— Decision: Skip export feature Q3
โ— Problem: Onboarding drop-off
โ— Feature: Onboarding checklist v1
โ— Decision: Ship digest emails
โ— Problem: Notification fatigue
โ— Feature: Notification prefs
โ— Outcome: +18% retention
โ— Decision   โ— Problem   โ— Feature

Stop guessing. Ship what matters.

Join 200+ product leaders in the private beta.

โœ“ Free to start โœ“ No credit card required โœ“ SOC 2 roadmap ยท GDPR compliant โœ“ Cancel anytime

Shape zokKU with your insights.

Take 2 minutes to share your biggest PM pain points. Your answers directly shape what we build in the next phase.

Question 1 of 4

What best describes your role?

This helps us understand who we're building for.

What are your biggest pain points as a Product Manager?

Be as specific as you can โ€” what frustrates you most in your day-to-day? What takes too long, feels broken, or makes you lose sleep?

If you could wave a magic wand, which parts of your job would you automate?

What repetitive or time-consuming tasks would you hand off to an AI tool tomorrow if you could?

Thank you! Where should we send early access & survey results?

We'll share aggregated insights from all respondents and give you priority access to the next phase.