for Heads of Product at seed & Series-A startups

Stop defending guesses. Build what your evidence says.

Corroso reads your Zendesk tickets, Canny votes, Linear issues, and codebase. It answers the two questions that matter: is there real demand, and how long will it actually take? Every number cites its source. Then it pushes the tickets.

10 design-partner seats · no hallucinated numbers: every claim links to a real source, or Corroso abstains
Northwind · idea analysis
live
PRD draft · problem & evidence

Add team collaboration

Team collaboration appears in 28% of support tickets1 and is the #2 most-requested feature2. Two enterprise accounts representing $48k ARR3 named it a renewal blocker. Build cost is low: your codebase already has a real-time presence layer4, so this is ~3 weeks, not ~10.

evidence
Zendesk
39 tickets matched "collaboration"
Canny
#2 on the feature board · 211 votes
Renewal notes
2 accounts · $48k ARR at risk
Codebase
presence layer in socket-server
14 sources scanned · 0 uncited claims
connects to Zendesk Intercom Linear Canny Jira your codebase more, by evidence value
the shift

Your current PRD process is bleeding sprint cycles.

Every planning cycle without cited evidence is a week shipping the wrong thing with a story you can't defend.

without corroso
  • 2 weeks manually tagging tickets before every planning cycle
  • 3 alignment meetings to agree on effort, still just gut feel
  • 0 citations when leadership asks "why are we building this?"
  • 1 bad bet costs more than a year of tooling
with corroso
  • <10 min from raw idea to a cited PRD: demand + feasibility
  • Every number links to a real ticket, vote, or line of code
  • One click pushes the approved PRD as epics into Jira or Linear
  • No guesses. If there's no evidence, Corroso says so
how it works

The full loop: from raw idea to tickets in Jira,
with the investigation already done.

Wire your evidence once

Right now your demand signal is scattered: support tickets in Zendesk, feature votes on Canny, sales call notes in a Notion doc nobody reads, and NPS responses in a spreadsheet from last quarter. Every planning cycle, someone spends two weeks manually tagging 4,000 items and pasting summaries into slides.

Connecting sources…
Zendesk4,312 ticketslive
Canny891 requestslive
Linear2,047 issueslive
GitHub repo1,204 fileslive
Intercom+ add
Indexing 0 signals…

Drop in an idea

Don't write a brief. Just describe what you're considering, the way you'd explain it to your eng lead over coffee. Corroso retrieves everything relevant from your connected sources: every matching ticket, vote, sales note, and code file, with provenance kept on each piece.

New idea
What are you considering?
Zendesk14 tickets mention "SSO" or "single sign-on"
Sales notes3 lost deals Q4 cite missing SSO
Canny#1 requested feature · 312 votes
CodebaseNo auth/sso.ts found · passport dep exists

Demand + feasibility, both cited

ChatGPT gives you a framework. Corroso gives you: 23 tickets, 9 accounts, $284k ARR, 2 open deals. The relevant files are already in src/reports/export.ts, so this is 2 weeks not 8.

Analysing CSV export
demandZendesk #4412: "We need CSV export for our finance team"
demandCanny · 89 votes: "Export dashboard data to CSV"
demandRenewal note · Acme Corp $48k: "blocker for renewal"
codesrc/reports/export.ts: ReportExporter class found
constraintsrc/api/rate-limiter.ts: 100 req/min ceiling
Demand23 tickets · 9 accounts · $284k ARR
Estimate~2 weeks(rate-limiter constraint)

Cited PRD & MVP scope

The output is a full PRD structured around Must / Should / Avoid. Every requirement traces back to a cited source: the ticket, the vote count, the sales note. A stakeholder who challenges the priority can be shown the exact evidence. The loudest voice in the planning meeting doesn't win anymore.

CSV Export · PRD draft
MustExport any report to CSV, up to 50k rows23 tickets · $284k ARR
MustAsync job + email link for exports >5MBrate-limiter · src/api/
ShouldScheduled recurring exports (weekly/monthly)4 enterprise accounts
ShouldRemember last column selection per user7 tickets
AvoidSynchronous streaming for large files3 competitor failures

Request review

The PRD goes to your team before anything enters the backlog. Assign required reviewers (eng lead, designer, CEO) whose approval gates the next step. Optional reviewers (CS, sales) can add context without blocking. Pin it to a roadmap quarter.

CSV Export · Review
MK
Maya K.Eng Lead · required
✓ approved
TS
Tom S.Designer · required
↺ changes
JR
Julia R.CEO · required
✕ blocked
Julia R.: "Conflicts with Q3 data export strategy. Resolve before proceeding."

Push tickets, once approved

Once the PRD is approved, Corroso drafts the Jira or Linear tickets. Each ticket carries the demand signal that justifies it, the codebase context that scopes it, and a testable acceptance criteria checklist. Engineers don't need a sync to understand why this matters or how to approach it.

Pushing to Linear…
LIN-314
● pushing
Add async export job + email delivery for large reports
P1 3 pts Backend Database
Context
23 tickets · $284k ARR · 2 open deals. Rate-limiter at 100 req/min, async batch required. See src/api/rate-limiter.ts.
Acceptance criteria
Exports >5MB trigger async job
User receives email with download link
Status tracked in export_status enum
Created in Linear · Blocks: LIN-312 LIN-313
the wedge

Should we build it? Exactly how?
Both answers, cited, before you commit.

Every build decision is two questions: is there demand, and is it feasible. The wrong project costs more than money; it burns engineering investigation time too. Corroso runs that investigation before the POC: demand from your tickets and feature requests, feasibility from your codebase (what already exists, what's reusable, the real approach). A raw chatbot can't hold both and cite them. That's the difference.

a generated guess
"Users want team collaboration. We should prioritize it for the next quarter."
No source. No number you can defend. No idea what it costs to build.
corroso, wired to your data
Team collaboration appears in 28% of support tickets1 and is the #2 most-requested feature2, blocking $48k ARR3 at renewal. It's also ~3 weeks, not ~104: your codebase already has the presence layer.
Zendesk #4412, #4419 +37 Canny · #2 · 211 votes Renewal note · $48k ARR socket-server/presence.ts
the trust model

The category lives or dies on trust.
So these are non-negotiable.

No claim without a citation

If Corroso can't link a quantitative claim to an ingested source, it says "no internal evidence found." It never invents a number to fill the gap.

No false precision

You'll never see "expected revenue: $145,000." If a number can't cite a source, you get an honest abstain, never an invented figure.

revenue simulation is excluded from v1, on purpose

Show the retrieval

Every report carries an Evidence panel listing exactly which tickets, requests, and metrics were used, and which were considered but left out.

Editable, not authoritative

The output is a draft you own and edit. We measure the share of PRDs shipped with minimal edits as our own quality signal, not the other way around.

where we fit

Generating a PRD is commoditized.
Defending one isn't.

Zeda.io is shutting down. Cycle.app was acquired and sunset. ProductBoard Spark is still in beta. The seed/Series-A PM has been left with enterprise tools priced at $70K/year or IC writing assistants with no evidence. Corroso is the missing middle: cited decisions, not just generated documents. At a team price a Head of Product can approve this afternoon.

  Corroso ChatPRD ProductBoard Spark
Generates a PRD & MVP scopebeta
Evidence ingestion (Jira, Linear, Zendesk, Canny, Intercom)no Canny / Linear
Every PRD claim cites its sourcesidebar only, beta
Reads your codebase for feasibility
Pushes approved PRD as Epic → Jira & LinearJira only
PRD versioned on every Approve
Evidence inbox: new signals since last visit
Built for the seed/Series-A HoPIC-firstenterprise-first
Zeda.io is shutting down

Import your CSV export in < 5 minutes. Your feature backlog becomes cited evidence in Corroso. Nothing lost.

Migrate free →
pricing

Priced for the retention curve,
not the adoption vanity metric.

Growth
$299 / mo
or $2,990 / yr (2 months free) · workspace plan
  • All 5 connectors: Zendesk, Intercom, Canny, Linear, Jira
  • Evidence-backed PRDs: every claim cites a source
  • Codebase feasibility: engineering investigation before the POC
  • Push approved PRD as Epic → Jira & Linear with child tickets
  • PRD versioning on every Approve · shareable decision links
  • Evidence inbox: new signals since your last visit
request early access
Scale
$499 / mo
or $4,990 / yr · Series A and up
  • Everything in Growth
  • SSO & advanced workspace controls
  • Priority support with dedicated onboarding
  • Revenue context connectors (Salesforce, Gong, roadmap)
  • Custom data retention & audit log
talk to us
No $15/seat IC tier. ChartMogul data: AI tools priced below $250/mo average 32% net revenue retention. We price for teams that are actually committed.
<10min
raw idea → cited PRD
0
uncited claims, ever
2 wks→ 1 day
planning cycle compressed
$299
less than one bad sprint
questions

What people ask
before they connect their data.

What is Corroso?

Corroso is the evidence layer for deciding what to build (and fix) next. It connects to your tickets, feature requests, and codebase and crosses them to answer two questions before you commit: is there demand, and how exactly would we build it? Feasibility isn't just an effort number. It's the engineering investigation done from your code, before you build. Every claim cites its source. Then it drafts the Jira/Linear tickets.

Why not just use ChatGPT or Claude?

A chatbot can't hold your live tickets and your private codebase on one connection and cite both. Corroso stays wired to your data, gives you verifiable clickable citations instead of a one-off paste-in, and drafts the tickets that put the decision in motion.

Who is it for?

Technical founders, Heads of Product, VPs of Product, and engineering/platform leads at seed and Series-A startups who own build decisions and have no product-ops team or analyst to delegate to.

Does it make up numbers?

No. If Corroso can't link a claim to a real source, it says "no internal evidence found" instead of inventing a figure. It avoids false precision and excludes revenue simulation on purpose: a projection can't cite a source.