Product Intelligence Platform

Product decisions made
with complete context

Product Memory connects everything your team knows — from Jira and Snowflake to Gong calls and Salesforce — and puts the right context in front of the right person before every decision.

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What changes when decisions have full context
3×
more context before every roadmap call
3–6 weeks
Churn caught 3–6 weeks earlier
2 min
From question to insight
Churn predictionInstant analysisCustomer intelligenceStakeholder context on demandSprint risk detectionSpec draftingMarket researchDecision briefsChurn predictionInstant analysisCustomer intelligenceStakeholder context on demandSprint risk detectionSpec draftingMarket researchDecision briefs
Churn Intelligence

Know which accounts are at risk before it's too late to act.

Your renewal strategy decisions happen before each CSM checkpoint. What is usually missing is a joined view of usage decline, support pain, NPS shifts, and contract timing across systems. Product Memory closes that gap early so risk is clear before the quarter is gone.

Product Memory · Churn Watch — Proactive
⚠️
3 enterprise accounts showing high churn signals — flagged automatically
✦Queried Snowflake — daily_active_users, enterprise tier, 30d → 3 accounts >40% DAU drop
✦Fetched Zendesk — Tata Nexarc: 11 tickets in 14d, CSAT 2.8/5
✦Read NPS data — Tata Nexarc score 8 → 4 last month
✦Checked Salesforce — renewal in 47 days · last CSM contact 23 days ago
✦Scanned Intercom sessions — last 3 sessions: billing & cancellation pages only
✦Ran churn model — 5 of 6 signals active → 84% churn probability within 45 days
PM
🚨 High churn risk — 3 enterprise accounts
Tata Nexarc · ₹18L ARR
DAU −52% · NPS 8→4 · renewal 47d · CSM contact 23d ago
84% risk
Meesho Supplier Portal · ₹11L ARR
DAU −38% · 7 unresolved Zendesk tickets
71% risk
Infosys BPM · ₹9L ARR
DAU −29% · champion Rajeev Sinha changed roles
58% risk
⚡ Draft CSM outreach for all three?
A
Yes — draft the Tata Nexarc email for Priya
✦Read Salesforce + Gong — last 6 months of notes and call summaries for Nexarc
✦Drafted + sent to Gmail drafts — personalised with use case, open issues, renewal context
PM
Done. Draft in Priya's Gmail — subject: Checking in on your team's experience. Want a follow-up reminder if no reply in 3 days? ✓
Reply
Instant Analysis

2 days of analysis. Delivered in 2 minutes.

Critical roadmap and growth decisions get made in live conversations. What is often missing is connected evidence across cohorts, behavior, and outcomes without waiting on analytics queues. Product Memory closes that gap in minutes, moving your team from question to insight with the working shown.

Product Memory · Instant Analysis
A
Which user cohort has the best 90-day retention, and what do they do differently in Week 1?
✦Queried Snowflake — user_retention table, cohorts Jan–Mar, 14 cohort cuts by plan/source/geo
✦Queried Snowflake — onboarding_events, first-7d actions joined to D90 retention flag
✦Pulled Mixpanel funnels — feature adoption for top vs. bottom retention quartile
✦Queried Amplitude — correlation between Day 1–7 events and D90 flag
✦Ran significance check — p-values on top predictors, filtered p < 0.05
✦Fetched Intercom segments — cross-referenced with onboarding completion & CSM assignment
PM
Best cohort: B2B Pro, sales-assisted onboarding — 67% D90 (vs. 23% self-serve avg)

What they do differently in Week 1:
Invited 3+ teammates within 48h
72% of this cohort · only 18% of churned users
Strongest
Completed a Jira or Slack integration
p=0.003 · 3.1× retention uplift
High signal
Created a custom dashboard
11% adoption — but 81% D90. Underexplored.
Investigate
⚡ Identify current Week-1 users missing both signals so you can intervene?
Reply
Customer Intelligence

Every customer signal, connected before your next roadmap call.

Your roadmap call is Thursday. The decision of what to build next quarter gets made in that room. Right now, the customer signal that should inform it is scattered across Intercom, Zendesk, NPS responses, and a stale Notion doc. Product Memory connects it before you walk in.

Product Memory · Customer Intelligence
A
Summarise all onboarding feedback from the last 90 days
✦Queried Intercom — tag "onboarding", last 90d → 187 threads
✦Fetched Zendesk — tag=onboarding, Jan 1 onwards → 94 tickets
✦Read Notion doc — "Customer Feedback Q1 2025" (last edited Feb 3)
✦Queried Snowflake — NPS verbatims, score ≤ 7, trial segment → 31 rows
✦Clustered themes — 312 signals → 8 themes by frequency & severity
PM
312 mentions across Intercom, Zendesk & NPS. Top issues:
Email verification confusing
94 mentions · enterprise & SMB
Critical
Workspace setup unclear
67 mentions · first-time users
Critical
"Too many steps before value"
51 mentions · correlated with 7-day churn
High
⚡ Draft the discovery brief for Thursday's call?
Reply
Decision Readiness

Every decision, with the context it deserves.

Your leadership review is where priority and commitment decisions get locked in. What is usually missing is one view across roadmap status, engineering blockers, and escalation signals. Product Memory closes that gap before the meeting so the room can decide, not scramble.

Product Memory · Decision Brief
A
Prep me for tomorrow's roadmap review
✦Read Google Calendar — Q2 Review, Thu 10am · CEO Vikram, CTO Arjun + 4 others
✦Fetched Confluence — "Product Roadmap Q2 2025" (updated Mon by Neha)
✦Queried Jira — Q2 milestone epics → status across 7 features
✦Scanned Slack + GitHub — 2 escalation threads in #platform-team · 3 PRs stalled >5 days
✦Identified open decisions — blockers cross-referenced against roadmap commitments
PM
Brief · Thu 10am (Vikram, Arjun + 4)

✓ On track Payments v2, Search, Mobile push
↓ At risk Notification Prefs (Figma delayed 6d — Deepa OOO)
⚠ Blocked API Rate Limits (platform dep 11d — Rahul's team)

Decisions needed:
1. Cut API Rate Limits from Q2 or extend?
2. Contractor for Notification Prefs cover?
3. Mobile-first priority for H2
⚡ Want the one-page slide summary too?
Reply
Risk Intelligence

Risks surface before they become decisions you can't undo.

Scope and release decisions are made continuously during the sprint. What is often missing is early visibility into stalled tickets, workload imbalance, and dependency drift before deadlines are impacted. Product Memory closes that gap so risks are surfaced while options still exist.

Product Memory · Risk Intelligence
✦Polled Jira — every 30 min · tickets in-review >5 days with no activity flagged
✦Checked workload — Jira assignee counts vs. team avg (3.2 tickets/person)
✦Scanned Slack #platform-team — PROJ-458 dep thread unanswered since Monday
✦Cross-checked Mar 21 cutoff — 3 items now at risk of missing it
PM
🚩 Sprint risks — 3 items
PROJ-441 · Notification Prefs
In Jira review 7 days · no reviewer assigned
Stalled
Karthik — 9 open tickets
Squad avg 3.2 · overloaded
Load
PROJ-458 · API Rate Limits
Slack dep thread dead since Mon
Blocked
⚡ Reassign PROJ-441 or nudge reviewer?
A
Reassign 441 to Siddharth, nudge Rahul on 458
✦Updated Jira PROJ-441 — assignee → Siddharth R.
✦Sent Slack message — @rahul-platform in #platform-team with PROJ-458 and Mar 21 deadline
PM
Done. PROJ-441 → Siddharth in Jira. Pinged @rahul-platform on Slack. ✓
Reply
Stakeholder Comms

Leadership always has the full picture.

Leadership decisions depend on accurate weekly context, not isolated status updates. What is usually missing is a coherent narrative linking shipped work, active risk, and next-step decisions across tools. Product Memory closes that gap with a decision-ready brief grounded in your source systems.

Product Memory · Decision Brief
A
Draft the weekly product update for leadership
✦Fetched Jira — all ticket transitions this week → 34 changes across 6 features
✦Read GitHub release log — 2 deploys: Payments v2 (Mon), hotfix (Wed)
✦Scanned Slack #incidents — 0 P0s, 1 P1 resolved Wed within SLA
✦Checked Datadog — post-deploy error rate nominal (<0.1%)
✦Matched tone — read Ananya's last 4 updates to match style
PM
Product Update · Week of Mar 10

Shipped Payments v2 at 100% · zero P1s in 48hrs (Datadog).
In progress Search on track for Mar 21. Mobile push in final QA.
At risk API Rate Limits slipping — flagging for Vikram's Q2 cut decision EOD Monday.

Next week: Notification Prefs back in review. Search release prep begins.
⚡ Send to #product-leadership or want edits?
Reply
Integrations

Plugs into every tool your team already uses

From your data warehouse to your CRM to your chat tools — full context, always.

Jira
Linear
Figma
Notion
Confluence
GitHub
Productboard
Amplitude
Mixpanel
Intercom
Zendesk
Salesforce
Gong
Slack
Google Drive
Snowflake
Datadog
Loom
Zoho CRM
Freshdesk
Why not just Claude + MCP?

Other tools give you tool access. Product Memory gives you product intelligence.

Same prompt. Very different output.

Claude is a powerful model. MCP connectors give it tool access. But tool access is not the same as product context — and the difference shows up in every response.

💬 "What should we build next quarter?" 1 / 4
Claude + MCP
A
What should we build next quarter?
✦Read Jira backlog — listed open feature requests by ticket count
✦No cross-referencing done — churn data, NPS, Gong calls, engineering capacity not checked
C
Based on the Jira backlog, here are the most requested features:

1. API Rate Limits — 12 votes
2. Notification Preferences — 9 votes
3. Advanced Search — 8 votes
4. Mobile Push — 7 votes

Would you like me to pull more detail on any of these?
⚠ No weighting by revenue impact, churn signal, or engineering capacity. A sorted backlog is not a roadmap.
Product Memory✦ Our product
A
What should we build next quarter?
✦Read Jira backlog — open feature requests, grouped by theme
✦Queried Snowflake — cross-referenced requests with churned accounts from last 2 quarters
✦Read Gong call summaries — last 30 sales & CSM calls, extracted feature asks by ARR tier
✦Fetched NPS verbatims — detractor comments, grouped by product area
✦Checked Jira sprint capacity — available story points Q3 based on last 4 sprint velocities
✦Ranked by weighted impact — churn prevention + ARR at risk + engineering feasibility
PM
Q3 Recommendations — ranked by impact
Notification Preferences
Top ask from 3 churned enterprise accounts · mentioned in 11 Gong calls · fits in 1 sprint
Build
Advanced Search
Detractors cite this in 34% of NPS comments · high ARR at risk (₹42L)
Build
API Rate Limits
Platform dep still unresolved · only 2 accounts actively waiting · defer to Q4
Defer
⚡ Want me to draft the Q3 roadmap doc with this as the basis?
💬 "Why is our NPS dropping?" 2 / 4
Claude + MCP
A
Why is our NPS dropping?
✦Queried NPS tool — pulled score trend for last 90 days
✦No correlation done — deploys, support tickets, feature changes not checked
C
Your NPS has declined from 42 to 31 over the last 90 days. The biggest drop occurred between Jan 15 and Feb 10.

Common reasons for NPS decline include product issues, support quality, and increased competition. Would you like me to look at specific feedback comments?
⚠ Describes the drop but has no idea what caused it. The suggestions are generic enough to apply to any company.
Product Memory✦ Our product
A
Why is our NPS dropping?
✦Read NPS verbatims — detractor comments Jan–Mar, clustered by theme
✦Cross-referenced GitHub deploys — matched drop timeline against release history
✦Fetched Zendesk volume — ticket spikes in same window, tagged by feature area
✦Scanned Intercom sessions — rage-click and drop-off patterns post Jan 15
✦Identified inflection point — correlated all signals against the Jan 17 onboarding deploy
PM
NPS dropped 11pts — root cause identified

The drop started Jan 18 — one day after the onboarding flow redesign shipped. Three signals converge on this:

62% of detractor comments mention onboarding
"Too many steps", "couldn't find where to start" — started Jan 18
Primary
Zendesk tickets up 3× in onboarding category
Jan 18–Feb 10 vs. prior 3 weeks
Primary
Intercom rage-clicks on Step 2
New workspace setup button placement — 38% of new users
Contributing
⚡ Want me to file a Jira epic to revert Step 2 and A/B test the old flow?
💬 "Should we cut API Rate Limits from Q2?" 3 / 4
Claude + MCP
A
Should we cut API Rate Limits from Q2?
✦Read Jira ticket PROJ-458 — description and current status only
C
PROJ-458 — API Rate Limits is currently blocked, waiting on a platform dependency. The ticket has been in this state since Monday.

Whether to cut it depends on its priority relative to other Q2 commitments. Would you like me to summarise the other Q2 tickets?
⚠ Can't answer the question. Has no idea which customers were promised this, what's at stake commercially, or what the team's real capacity looks like.
Product Memory✦ Our product
A
Should we cut API Rate Limits from Q2?
✦Checked Jira PROJ-458 — blocked 11 days · platform dep owner: Rahul · no ETA
✦Read Salesforce — 2 enterprise accounts have this feature in their contract notes
✦Scanned Gong calls — Tata Nexarc asked about this in their Mar QBR · marked as expectation
✦Checked sprint capacity — 6 working days left in Q2 · squad has 14 points remaining
✦Assessed unblock probability — Rahul's team has 3 open P1s · dep resolution unlikely before Mar 21
PM
Recommendation: cut from Q2, but communicate proactively

Platform dep won't resolve in time
Rahul's team has 3 open P1s · 6 days left · 0 realistic path to unblock
Cut
Tata Nexarc expects this in Q2
Mentioned in Mar QBR · CSM Priya needs to get ahead of it today
Risk
One other account affected
Infosys BPM — lower urgency, renewal not until Aug
Low risk
⚡ Draft the Slack message to Vikram and the CSM note for Priya?
💬 "Summarise what the engineering team worked on this week" 4 / 4
Claude + MCP
A
Summarise what the engineering team worked on this week
✦Fetched Jira transitions — tickets that changed status this week
C
This week the engineering team worked on the following:

• PROJ-441 moved from In Progress to In Review
• PROJ-458 moved from In Progress to Blocked
• PROJ-421 moved from In Review to Done
• PROJ-433 moved from To Do to In Progress
• PROJ-447 moved from In Review to Done
⚠ A status log, not a summary. No context for why things happened. Useless for a leadership update or a retro.
Product Memory✦ Our product
A
Summarise what the engineering team worked on this week
✦Fetched Jira transitions — status changes + linked PR descriptions this week
✦Read GitHub commits & PRs — commit messages and PR review threads for context on what changed
✦Scanned Slack #engineering — decisions made mid-week, blockers raised, context behind the block
✦Synthesised narrative — grouped by theme, explained the why behind each item
PM
Engineering · Week of Mar 10

Shipped Payments v2 fully deployed Mon — Siddharth's team resolved the final edge case in the retry logic after a late-stage review flag from Karthik.

Shipped Search indexing hotfix went out Wed — caught in Datadog before any user impact.

In review Notification Prefs (PROJ-441) handed to Marcus after sitting without a reviewer for 7 days. Now unblocked.

Blocked API Rate Limits (PROJ-458) — platform dep. Rahul's team deprioritised it due to 3 P1s. Decision needed on Q2 cut.

⚡ Use this as the base for the weekly leadership update?

The context gap is costing you. Every quarter.

Product Memory is the intelligence layer that connects what your customers are saying, what your data is showing, and what your team is building — so every product decision is made with full context.

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