The AI teammate that watches your product 24/7,
so things don't slip past you.
Always monitoring your analytics, session replays, support tickets, and error logs.
Squash discovers insights on its own, and tells your team what to fix and ship next.
3 customers reporting promo discount didn’t apply at checkout
- Aarav S.ZD-482712m
“Used SUMMER25 at checkout but still got charged the full price.”
- Priya M.ZD-481828m
“Promo code says applied but the total didn't change.”
- Rohan K.ZD-480151m
“Billed ₹4,899 instead of ₹3,899. Need refund.”
Checkout conversion dropped 19% at the promo apply step
TypeError firing on promo apply, 142 events in 72h
Delay observed at the promo step, users seem confused
Promo discounts applied client-side but never persisted to payment gateway
34 customers charged full price despite promo codes showing as applied in the UI. The discount is registered client-side but the order payload sent to the payment service omits the discount object, resulting in ₹3.8L in overcharges across 4 enterprise accounts over 72 hours.
Suggested action
Create Linear issue · escalate to Payments
Promo discounts applied client-side but never persisted to payment gateway
34 customers charged full price despite promo codes showing as applied in the UI. The discount is registered client-side but the order payload sent to the payment service omits the discount object, resulting in ₹3.8L in overcharges across 4 enterprise accounts over 72 hours.
- Ticket clustering08:12 IST
Scanned 142 new tickets from the last 72h. Identified 34 mentioning promo/coupon failures at checkout. All describe the same pattern.
Zendesk - Verified discount not reaching payment08:18 IST
Cross-referenced 12 user IDs with Mixpanel events. All fired checkout.promo.applied but BigQuery order totals match pre-discount price.
MixpanelBigQuery - Promo codes themselves are valid08:22 IST
Queried the promotions table. SUMMER25, FLAT15, WELCOME10 are all active, within validity dates. Codes aren't the problem.
BigQuery - Reviewed 6 session replays08:28 IST
In all 6 sessions, cart summary updates with discount but final confirmation reverts to original total.
PostHog
Suggested action
Create Linear issue · escalate to Payments
Plugs into your existing product stack
The Problem
The problem
PMs spend 30-40% of their time on manual data work.
Five tools open. Cross-referencing funnels. Watching recordings. Pulling reports.
Conversion dropped on Tuesday. Found on Friday. Fix ships next sprint.
10,000 sessions recorded. 50 reviewed. Your team acts on less than 5% of your data.
The data was always there. Nobody had time to find it.
Squash solves the attention problem, not the data problem.
The problem
PMs spend 30-40% of their time on manual data work.
Five tools open. Cross-referencing funnels. Watching recordings. Pulling reports.
Conversion dropped on Tuesday. Found on Friday. Fix ships next sprint.
10,000 sessions recorded. 50 reviewed. Your team acts on less than 5% of your data.
The data was always there. Nobody had time to find it.
Checkout funnel ↓19%
Drop at promo-apply step
TypeError spike: 142
discount.amount undefined
12 tickets, promo issue
Users charged full price
Rage clicks at checkout
47 sessions retrying promo
Squash solves the attention problem, not the data problem.
How it works
Your product stack, monitored. Issues resolved before they escalate.
Squash continuously watches your analytics, session replays, support tickets and error logs. When it spots something, it investigates across every tool and hands your team a fix, not just an alert.
Size chart mismatch driving 3.4× return rate on apparel
"Wrong size" return requests jumped 3.4× in 10 days across the apparel category. Sentinel clusters 1,840 return tickets and cross-references with product catalog data, revealing the issue is isolated to 3 new vendors onboarded in April whose size charts use EU sizing but are displayed with IN/US labels. Customers ordering "M" receive what is effectively an "XS" in Indian sizing. The catalog ingestion pipeline auto-mapped EU sizes to IN labels without conversion, and the QC team didn't catch it because the vendor spreadsheet headers said "Size" without specifying the standard.
Impact
3.4×
return spike
Users affected
45,200
in affected cohort
Tools spanned
4 tools queried
Ask Squash
And when you do have a question, ask the teammate that's already read everything.
Squash is wired into your analytics, sessions, tickets, calls, and backlog. Ask a funnel question, draft a ticket, summarise complaints. It answers like someone who's already read everything.
- Ask a data question. Squash writes the SQL, runs it, and visualises the answer.
- Draft a Jira / Linear ticket grounded in real session and ticket evidence.
- Summarise what customers are complaining about most this month, with sources.
Android checkout conversion dropped to 2.1% (↓0.9 pts) this week. Root cause: payment-step crash on Android 14 after the 4.2.1 release. 38% of affected users rage-clicked the Pay button 3+ times before exiting.
Android CVR
2.1%
▼ −0.9 pts
Rage clicks
38%
▼ +24 pts
Tickets
412
▼ 3× normal
Daily conversion · last 14 days
BigQuery[P1] Android 14 payment-step crash after 4.2.1 release
SQ-519 · Squash Web · Linked: 412 tickets · 38 sessions
Want to see Squash investigate
one of your real issues?
A 30-minute demo. We'll plug into one of your tools live and run an investigation on your actual data. You leave with a working insight, not a sales pitch.