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AI Product Thinking · PMCopilot v3
Overview
Live Intelligence
5-Layer AI Intelligence Pipeline — Click any layer to explore
Layer 01
Signal Ingestion
12 sources · 15K signals/day
Layer 02
AI Understanding
NLP · Cluster · Intent · Emotion
Layer 03
Recommendation Engine
Problems · RICE · Conflict detection
Layer 04
Impact Simulator
Pre-decision outcome modelling
Layer 05
RL Feedback Loop
Learns from every decision
Problems Detected
⚠️
24
↑ 18% vs 30d
Opportunities
💡
17
↑ 25% vs 30d
Solutions Generated
42
↑ 31% vs 30d
Active Conflicts
2
Needs review
RL Accuracy
🎯
87%
↑ +5% this qtr
Top Problem Clusters
View All →
1
Checkout & Payments
18.4%
2
Onboarding Experience
14.7%
3
Feature Discovery Gap
11.2%
4
Performance & Speed
9.3%
5
Integrations
6.8%
Stakeholder Signal Breakdown
Live Feed →
Sales (Salesforce · Convin.ai)
1,284 signals
CX (Zendesk · Intercom)
3,847 signals
Co-founders (Slack · MoM)
412 signals
NPS/CES (Reviews · Surveys)
2,156 signals
Engineering (Jira · Datadog · LD)
4,923 signals
Market (G2 · Reviews · Competitive)
2,378 signals
Top Recommended Actions
All 42 →
1
Add Guest Checkout
High
850
2
Payment Retry Logic
High
780
3
Clear Error Messaging
Med
620
4
Onboarding Checklist
Med
600
5
Speed up Dashboard Load
Med
580
⚡ 2 Priority Conflicts Detected
Sales vs Engineering priority conflict requires review before roadmap commit.
Data Sources Connected
12/12 Active · Synced 2m ago
☁️Salesforce
🎙️Convin.ai
🟢Zendesk
💬Intercom
💜Slack
🔴Jira
🐶Datadog
📊GA4
📈Mixpanel
🚩LaunchDarkly
📉Tableau
🗄️S3/Redshift
✦ Live AI Analyze Any Real Signal Paste any support ticket, sales note, NPS comment, Slack message, or engineering log
Claude will classify intent, urgency, emotion, and recommend next action
Platform Signal Dashboard — Demo Data
Layer 01 — Signal Ingestion · All stakeholder data sources · Real-time processing
Step 1
Source Connection
Webhooks · APIs · Batch
Step 2
Schema Normalisation
ETL · Deduplication
Step 3
Signal Enrichment
Weight · Intent · Timestamp
Step 4
Kafka Streaming
Published to NLP queue
Step 5
AI Processing
→ Layer 02
Stakeholder Signal Sources — Select a team to view their data
💼 Sales Team
🎧 CX Team
👥 Co-founders & Leadership
⭐ NPS / CES
⚙️ Engineering
📊 Market & Competitive
Salesforce CRM
$2.4M
Pipeline ARR · 47 active deals
Win rate: 34% · Avg deal: $51K · Lost this month: 8 deals · Top loss reason: Missing integrations (37%)
Convin.ai · Call Intelligence
47
Sales calls analysed this week
Sentiment: 71% positive · Top objection: "Too complex to set up" (12 calls) · Product gaps mentioned: WhatsApp (8), SSO (5), API (4)
Win / Loss Analytics
34%
Win rate · -4% vs last quarter
Lost to Competitor A: 6 deals · Lost to Competitor B: 3 deals · Primary reason: checkout complexity · ARR at risk: $180K
Live Call Feed — Convin.ai
CALL
"We love the platform but the checkout is a dealbreaker for our enterprise team — we need single sign-on"
2m
CALL
Lost deal ACME Corp — reason: "WhatsApp integration missing, competitor has it already"
18m
DEAL
Prospect GlobalTech moved to Closed Lost · ARR $60K · Cited: payment flow too complicated for their teams
1h
Zendesk · Support Tickets
652
Open tickets · +34% vs last week
Top category: Payment failures (38%) · CSAT: 2.1/5 · Escalations: 12 · SLA breach risk: HIGH
Intercom · Chat & Messaging
389
Conversations this week
Auto-resolved: 61% · Avg response time: 4.2min · Top query: "How do I checkout as a guest?" (87 times)
Emotional Analysis · NLP
68%
Frustration signals in CX data
Emotion breakdown across all CX channels this week
😤 Frustrated 68%
😕 Confused 21%
😊 Satisfied 11%
Live Support Feed
TICKET
Payment keeps failing — tried 3 times with Visa card. I'm switching to competitor if this isn't fixed today.
1m
ESCALATION
Enterprise customer TechCorp threatening to churn — 3rd payment failure this month, team cannot complete purchases
14m
Slack · Leadership Channels
5
Channels monitored · 412 signals
Top topics: Checkout (mentioned 34×) · Q4 OKR alignment (22×) · Competitor activity (18×) · Hiring (15×)
Meeting Notes · MoM
Q4
OKR: Reduce SMB churn by 15%
Board meeting Oct 12: "Checkout conversion is our biggest Q4 risk" · CEO flagged: competitor gaining SMB share · CFO: revenue at risk $148K/mo
Strategy Documents · Notion
3
Strategic priorities this quarter
Priority 1: Checkout fix (OKR alignment 0.87) · Priority 2: Mobile performance · Priority 3: Enterprise SSO · Note: WhatsApp integration is Q1 2025
Recent MoM Actions
ACTION
Board meeting 12 Oct: "Resolve checkout drop-off before end of Q4" — Owner: CPO · Due: Nov 30
3d
OKR
Q4 OKR confirmed: Reduce churn 15% · KR1: Checkout conversion +10% · KR2: Day-7 retention +8%
1w
NPS Survey · Monthly
28
NPS Score · -4 pts vs last month
Promoters: 41% · Detractors: 27% · Passives: 32% · Top detractor theme: Payment failures (58% of detractors)
CES · Customer Effort Score
3.2
CES Score /7 · "High effort" threshold: <4
Checkout effort score: 5.8/7 (very high effort) · Onboarding: 4.1 · Support resolution: 3.8
App Reviews · G2 · Capterra
3.8★
Avg rating · G2: 3.9 · App Store: 3.7
Recent theme: "Great product but checkout is a nightmare" (42 reviews) · "Competitor X is easier to pay" (18 reviews)
Jira · Engineering Backlog
234
Open issues · 3 P1 bugs unresolved
P1: Payment SDK crash iOS 17.4 · P1: Export timeout on Chrome · P2: Memory leak dashboard · Sprint velocity: -12% this week
Datadog · Performance Monitoring
4.2s
P95 dashboard load · baseline 1.8s
Memory leak detected: +340MB/hr · Payment API latency: 1.8s avg (up from 0.4s) · Error rate: 3.4% (threshold: 1%)
LaunchDarkly · A/B Tests
4
Active experiments
Checkout flow v2: +8% conversion (stat sig) · Simplified error messages: +12% retry rate · New onboarding: Day-7 retention +6%
Google Analytics · Tableau
-31%
Checkout conversion drop · Last 30d
Step 3 abandonment: 62% · Mobile: -41% · Desktop: -22% · New users most impacted · Feature adoption: 68% below target
Cloud Platforms · AWS
99.6%
Uptime · 3 incidents this month
Payment service: 2 incidents · DB connection pool: 1 incident · Infra cost: $12K/mo (+18% vs last month due to inefficiency)
Meeting Notes · Eng Team
8
Action items from last sprint review
Priority: Fix payment SDK iOS · Technical debt: Payment service refactor (est. 3 weeks) · Proposed: Dedicated payments squad Q1
Competitive Intelligence
⚠️
Competitor X shipped payment retry
Competitor X launched smart payment retry with 3-method fallback on Oct 15. G2 reviews mentioning the switch: 4 this week.
Changelog Monitoring · RSS
6
Competitor feature launches this month
Competitor A: Guest checkout · Competitor B: Payment retry · Competitor C: Mobile payment · All three features overlap with our top-3 recommended solutions
Industry Benchmarks · Gartner
3.1%
Industry avg checkout abandonment (our: 18.4%)
We are 6× above industry average. B2B SaaS with guest checkout: avg abandonment 4.2%. Gap is critical competitive risk.
Problem Discovery — 24 Detected
All 24
Critical
High
Medium
Checkout Flow Drop-off
Critical6 sourcesCX · Sales · Analytics
92/100
High abandonment on the payment step. 18.4% of users affected. 3,842 users impacted in the last 30 days. Root causes: multiple payment failures, no guest checkout, confusing error messages, iOS SDK crash.
3,842 users
−23% conversion
652 tickets
$148K/mo revenue risk
🎧 Zendesk
☁️ Salesforce
🎙️ Convin.ai
📊 GA4
🔴 Jira
🐶 Datadog
New User Onboarding Friction
High4 sourcesCX · Analytics
78/100
Users dropping off during setup wizard. 14.7% of new signups churn within first 7 days without completing onboarding. Day-1 activation dropped 8%.
1,204 users
−8% activation
287 tickets
14.7% 7-day churn
💬 Intercom
📈 Mixpanel
⭐ NPS Survey
🚩 LaunchDarkly
Dashboard Performance Degradation
High3 sourcesEngineering
71/100
P95 dashboard load time increased to 4.2s (from 1.8s baseline). Datadog shows memory leak in main bundle +340MB/hr. Affects 892 power users.
892 power users
4.2s P95 load
134 tickets
3 Datadog incidents
🐶 Datadog
🔴 Jira
📊 GA4
Feature Discovery Gap
Medium3 sourcesSurveys · Support
58/100
67% of users unaware of 3+ key features. App reviews repeatedly mention "I wish it had X" for features that already exist. Onboarding doesn't surface capabilities adequately.
4,120 users
67% unaware
411 G2 reviews
📉 Tableau
⭐ G2
💬 Intercom
Solutions & RICE Scoring — 42 Generated
Add Guest Checkout
Allow purchases without account creation. Removes the biggest single friction point confirmed across 6 sources. Competitor A launched this and gained 8% SMB market share in 60 days.
Reach
3,842
Impact
3.0
Confidence
92%
Effort
3 wks
RICE Score
850
Smart Payment Retry Logic
Intelligent retry with alternative payment methods when primary fails. Engineering data: 34% of failed payments are manually retried within 10 minutes — automate this flow.
Reach
2,100
Impact
2.8
Confidence
87%
Effort
2 wks
RICE Score
780
Clear Error Messaging
Replace technical payment error codes with plain-language messages and suggested actions. 38% of Zendesk tickets are users confused by error codes — a 1-week fix with high reach.
Reach
3,200
Impact
1.5
Confidence
94%
Effort
1 wk
RICE Score
620
✦ Live AI Generate a Real PRD from Your Problem
Claude generates user stories, ACs, success metrics, edge cases, dependencies
Example PRD — Guest Checkout Feature
Auto-Generated PRD · Guest Checkout Feature
Generated from confirmed problem + selected solution · Evidence from 6 sources · LLM chain via LangChain
✓ Auto-generated
RICE Score: 850Impact: HighEffort: 3 weeksOwner: Product + EngQ4 OKR: ✓ Aligned (0.87)
Problem Statement
18.4% of users (3,842 people) are abandoning the checkout flow at the payment step. Root cause analysis across 6 signal sources confirms that the forced account creation requirement is the single largest friction point — mentioned in 87 Zendesk tickets, 8 Convin.ai sales calls, and 3 lost enterprise deals ($180K ARR). Competitors who have shipped guest checkout report 8–14% conversion improvement within 60 days.
Goals & Success Metrics
Primary KPIs
• Checkout conversion rate: +10% within 30 days
• Payment-step abandonment: from 62% to ≤45%
• Payment-related support tickets: -40% within 14 days
Secondary KPIs
• NPS score: +5 to +8 points within 30 days
• CES checkout: from 5.8 to ≤4.0
• Enterprise deal conversion: recover 3 stalled deals
User Stories
US-001
As a first-time buyer, I want to complete my purchase without creating an account, so that I can buy quickly without committing to a long-term relationship with the platform.
✓ Given I'm on the checkout page · When I select "Continue as Guest" · Then I see only name, email, and payment fields — no password required
US-002
As an enterprise buyer, I want my team members to be able to check out without individual account setup, so that procurement can happen without IT involvement for initial evaluation.
✓ Given I have a team workspace · When a team member checks out as guest · Then the purchase is associated with the company domain · And the admin can claim the purchase retrospectively
US-003
As a returning guest buyer, I want to optionally save my details for future purchases, so that I can speed up future checkouts if I choose to create an account later.
✓ Given I've completed a guest checkout · When I see the confirmation page · Then I'm offered (not forced) to save my details with a clear value prop · And this is never shown more than once per browser session
US-004
As a product analyst, I want to track guest vs registered checkout conversion separately, so that I can measure the impact of this feature accurately and feed it into the RL model.
✓ Given a guest checkout completes · Then a checkout_complete event fires with user_type=guest in GA4 and Mixpanel · And LaunchDarkly flag tracks which cohort saw the feature
Acceptance Criteria & Edge Cases
AC-1: Guest checkout option visible on step 1 of checkout flow (before payment details)
AC-2: Guest checkout requires only: first name, email, payment method — no password, no phone
AC-3: Post-purchase email sent to guest with order confirmation and optional account creation link
Edge case: If email already registered → show "This email has an account. Sign in or use a different email"
Edge case: If guest checkout fails payment → do not create partial account state — allow retry without data loss
Non-goals: Guest users do not have access to subscription management, order history, or team features
Dependencies & Timeline
Dependencies
• Payment service v2 API (available — confirmed Eng)
• Auth service guest token endpoint (1 day build)
• Analytics: GA4 + Mixpanel event schema update
• Legal: Privacy policy update for guest data retention
Timeline — 3 Weeks
Week 1: Auth service endpoint + checkout flow UI
Week 2: Payment integration + edge case handling
Week 3: Analytics events + QA + A/B test setup
Launch: 10% rollout via LaunchDarkly → 100% at day 7
✦ Live AI Detect a Real Priority Conflict Paste two competing stakeholder priorities — Claude will analyze OKR alignment and recommend
Claude scores OKR alignment for both priorities and recommends a resolution
Active Conflicts — 2 Detected by Platform
Priority Conflict Detector — 2 Active Conflicts
⚡ HIGH SEVERITY
Sales vs. Engineering Priority Conflict
Detected 6h ago · Unresolved
Sales Team Priority
"WhatsApp integration is blocking 3 enterprise deals worth $180K ARR. Escalated to CPO. Competitor A already has it."
OKR Alignment
0.31
Engineering + Support Priority
"Checkout payment bug has 652 open tickets, CSAT 2.1, customers threatening churn. P1 open 3 weeks. Revenue at risk $148K/mo."
OKR Alignment
0.87
AI Recommendation
Q4 OKR is "Reduce SMB churn by 15%." Checkout fix aligns directly (score 0.87); WhatsApp does not (score 0.31). Evidence supports: Sprint 1 — Checkout fix (resolves 652 tickets, recovers $148K/mo revenue risk). Q4 planning — Scope WhatsApp MVP ($180K ARR opportunity, non-urgent). This resolves the conflict with data, not politics.
⚡ MEDIUM
Co-founder OKR vs. Engineering Capacity Conflict
Detected 1d ago · Under review
Co-founder / Board Priority
"Mobile app revamp is critical for enterprise expansion. Board meeting minutes Oct 12 stated this as a Q1 2025 strategic priority."
OKR Alignment
0.55
Engineering Capacity Signal
"Sprint velocity down 12%. Memory leak fix is blocking 2 senior engineers. Adding mobile revamp to Q4 will cause 3+ sprint delays per Jira estimates."
OKR Alignment
0.62
AI Recommendation
Engineering capacity is at risk. Recommend deferring mobile revamp scoping to Q1 2025 (when memory leak and checkout fix are resolved). Brief co-founders with evidence: fixing current issues directly increases mobile retention metrics, which is the underlying goal of the revamp.
Impact Simulator — Pre-decision Outcome Modelling
Simulating for: Checkout Flow Drop-off (Impact Score 92/100)
Based on 47 comparable historical fixes · Confidence interval: ±12% · Model version: RL-v3.2
Compare Decision Paths — Select one to simulate
Option A: Add Guest Checkout
Effort: 3 weeks · RICE: 850
NPS
+8 pts
Conversion
+14%
Tickets
-60%
Revenue
+$148K
Option B: Payment Retry Logic
Effort: 2 weeks · RICE: 780
NPS
+5 pts
Conversion
+9%
Tickets
-70%
Revenue
+$90K
Option C: Both A + B (Recommended)
Effort: 5 weeks combined · Max impact
NPS
+13 pts
Conversion
+23%
Tickets
-87%
Revenue
+$238K
Projected Outcomes — Option A: Guest Checkout (30-day window)
Before — Current State
NPS Score
28
Checkout Conversion
2.8%
Payment Tickets/week
652
Day-7 Retention
54%
CES Checkout
5.8/7
After — Projected (T+30 days)
NPS Score
36 (+8 pts)
Checkout Conversion
3.2% (+14%)
Payment Tickets/week
261 (-60%)
Day-7 Retention
62% (+8 pts)
CES Checkout
3.4/7 (-2.4)
Model Confidence
Based on 47 comparable implementations · Model: RL-v3.2 · Confidence: 88%
AI-Generated Roadmap
Q4 2024 — Now
OKR Aligned
Clear error messaging — Replace payment error codes with plain language
Eng
S
Guest Checkout — Remove account creation barrier from payment flow
Eng + Design
M · 3w
Onboarding checklist v1 — Interactive progress with step rewards
Product
S · 1w
Payment retry logic — Intelligent fallback with 3 alternative methods
Eng
M · 2w
Q1 2025
Dashboard performance — Fix memory leak, target P95 <2s
Eng
L · 4w
WhatsApp MVP integration — Messaging channel for enterprise accounts
Eng + Product
L · 6w
Feature discovery tooltips — Contextual feature surfacing for new users
Design
S · 1w
Q2 2025
Mobile app revamp — Native iOS/Android payment experience
Mobile
XL · 8w
AI semantic search — Natural language search across all features
AI Team
L · 6w
Reinforcement Learning Loop — Outcome Tracking & Model Improvement
RL Model Prediction Accuracy — Improving Each Quarter
↑ +5% this quarter
Model learns from every implemented recommendation. Each outcome data point refines future projections.
Q1 2024Q2 2024Q3 2024Q4 2024Now 87%
47
Predictions made
41
High accuracy
4
Medium accuracy
2
Low accuracy
87%
Overall accuracy
RL-v3.2
Model version
Implemented Decisions — Tracked Outcomes vs Predictions
Clear Error Messaging
94% acc
Tickets/week
Pred: -40%
-43% ✓
CSAT
Pred: +0.6
+0.7 ✓
Retry rate
Pred: +12%
+14% ✓
Implemented Nov 1 · T+14 measurement · HIGH reward → RL updated
Onboarding Checklist v1
81% acc
Day-7 retention
Pred: +6%
+7% ✓
Step 3 completion
Pred: +25%
+18% ≈
Support queries D1
Pred: -30%
-28% ✓
Implemented Oct 28 · T+14 measurement · MED reward → model notes
Dashboard Caching (Hotfix)
96% acc
P95 load time
Pred: -40%
-42% ✓
Power user sessions
Pred: +8%
+9% ✓
Performance tickets
Pred: -65%
-71% ✓
Implemented Oct 22 · T+7 measurement · HIGH reward → RL updated
Feature Tooltip Experiment
61% acc
Feature adoption
Pred: +18%
+8% ✗
Tooltip dismissal
Pred: 30%
67% ✗
NPS
Pred: +2
0 ≈
Implemented Oct 15 · LOW accuracy · LOW reward → model recalibrated for tooltip interventions
Data Sources — 12/12 Connected
☁️
Salesforce
Sales CRM · Pipeline
● Connected · Real-time
1,284Signals/day
2mLast sync
$2.4MARR tracked
🎙️
Convin.ai
Call Intelligence · Win/Loss
● Connected · Batch
47Calls/day
15mLast sync
Sentiment71% pos
🟢
Zendesk
CX · Support Tickets
● Connected · Real-time
652Tickets
1mLast sync
CSAT2.1/5
💬
Intercom
CX · Chat · Messaging
● Connected · Real-time
389Chats/day
2mLast sync
Emotion68% frustration
💜
Slack
Leadership · Co-founders · MoM
● Connected · Real-time
5 channelsMonitored
1mLast sync
OKR3 priorities
🔴
Jira
Engineering · Bugs · Sprints
⚠ Rate Limited · Delayed
234Issues
47mLast sync
3 P1sOpen
🐶
Datadog
Engineering · Perf · Infra
● Connected · Real-time
Real-timeAlerts
30sLast sync
P954.2s
🚩
LaunchDarkly
Engineering · A/B Tests · Flags
● Connected · Real-time
4Active tests
1mLast sync
24Flags
📊
Google Analytics 4
Analytics · Events · Funnels
● Connected · Streaming
84KEvents/day
5mLast sync
-31%Checkout conv.
📈
Mixpanel
Analytics · Retention · Cohorts
● Connected · Streaming
62KEvents/day
5mLast sync
D754% retention
📉
Tableau
Engineering · BI · Dashboards
● Connected · Batch
12Dashboards
1hLast sync
AllKPIs tracked
G2 / App Store
NPS · CES · Reviews
● Connected · Daily
411Reviews
6hLast sync
3.8★Avg rating
AI
PM Copilot
Analysing 12 sources
Hi! I've analysed 15,482 signals from 12 sources across all 5 layers. Found 24 problems, 2 priority conflicts, and 42 solutions.

Top issue: Checkout drop-off (92/100 impact) — 3,842 users, $148K/mo revenue risk.
Just now
⚡ Alert: 2 priority conflicts detected. Sales vs Engineering requires your attention before roadmap commit.
Just now