PilotPM vs Productboard

The Productboard alternative fed by live customer conversations

Productboard is excellent at structured feedback intake. PilotPM builds the same feedback → roadmap loop on top of your live support inbox, Slack and App Store reviews — so themes come from what customers actually say, not what someone remembered to import.

3 seats, 500 credits/month, no credit card.

Their AI answers tickets. Ours improves the company that answers tickets.

Side by side

PilotPM vs Productboard, on the things that change your week.

Competitor pricing changes — we don't restate their numbers here. For current Productboard rates, check their pricing page. PilotPM's prices below are the same source of truth as our pricing table.

Productboard
PilotPM
AI-native from row one
Signal sources
Structured feedback intake via integrations and manual import; not designed around live conversation streams.
Live conversations (email, chat, Slack), App Store & Google Play reviews and HubSpot — clustered continuously, nothing imported by hand.
Theme clustering
AI theme clustering available on paid plans.
Nightly AI clustering across every signal, ranked by severity × frequency impact — five billing complaints outrank a hundred UI nitpicks.
Who it serves
Built for product teams.
PMs plus the rest of the customer-facing org — support, CS and sales work the same themes in the same tool.
Engineering handoff
Jira integration for pushing features and syncing status.
Theme → Jira in one click with status round-trip back to the source conversations. Tickets arrive pre-triaged: verbatim quotes, the severity × frequency impact, a suggested fix and a fixability call attached.
Pricing model
Per-maker pricing across plan tiers — see productboard.com/pricing for current rates.
Flat monthly tiers — $149/mo Starter, $2,499/mo Growth, AI included. Free tier to evaluate.
The two numbers that matter

Every AI support vendor quotes one number. Make them show you two.

Whichever tool you pick — PilotPM, Productboard, or anyone else — two numbers tell you whether the AI is actually working. Ask every vendor for both.

Number one

Autonomous resolution — the % handled with no human

Vendors quote 65–90%. Those numbers come from curated case studies, and the definitions are soft — "resolved" often just means the customer didn't reply. Before you trust any number, ask: what's the numerator, what's the denominator, and is it audited?

Number two

Draft acceptance — the % of AI drafts an agent sends as-is

The harder, more honest number: when a human does review the AI's work, how often is it good enough to send without a single edit? Most vendors don't publish this one at all.

Vendor
Published "autonomous resolution"
Where the number comes from
Intercom Fin
65–67%
Vendor-reported — methodology not independently audited
Sierra
50–90%
Case studies — methodology not independently audited
Decagon
70–80%
Case studies — methodology not independently audited
Ada
32–84%
Case studies — methodology not independently audited
Zendesk AI
39–60%
Customer stories — methodology not independently audited
Freshdesk Freddy
30–65%
Case studies — methodology not independently audited

Ranges above are each vendor's own published figures as of July 2026 — from their sites, case studies, or customer stories. Methodologies differ, definitions differ, and none are independently audited. We don't put a PilotPM percentage on this page because your number depends on your tickets: in a pilot we measure both numbers on your data and show you exactly how they're counted.

Four questions to ask any vendor — including us:
  • What's the numerator and the denominator? Which conversations count as "resolved", and which get quietly excluded?
  • Does "resolved" include actions actually taken — refunds issued, accounts fixed — or just replies the customer never answered?
  • Is the number audited? Can we recount it ourselves from raw conversations?
  • What happens when the AI gets one wrong — and what changes in the system so the same mistake doesn't repeat?
What "improves the company" means

A chatbot answers. A dashboard reports. PilotPM gets better every week — and shows its work.

Every week the numbers move, and the system tells you exactly what's blocking the next improvement: a missing article, a bad rule, a data gap, or a product bug.

01

Every edit is a signal

When your team edits an AI draft before sending, PilotPM keeps the diff — that's the ground truth vendors throw away.

02

Diagnosed to a root cause

Was the knowledge missing? A rule wrong? Customer data out of reach? A real product bug?

03

Fixed at the source

Knowledge, rules, data, or product code — the fix lands where the cause lives, not in a prompt tweak.

04

Proven before it ships

An eval re-runs the conversations that failed. The number moves, or the fix doesn't ship.

Why teams switch

Not a cheaper inbox. A loop that closes.

Live signal

Themes from conversations, not imports.

Every support thread, Slack mention and App Store review is clustered nightly into one taxonomy. The roadmap argument writes itself: theme, impact score, ARR touched, verbatim quotes.

One org

Support and product stop reconciling spreadsheets.

The same theme the support team works in the inbox is the theme the PM ranks on the roadmap — one id, one count, one Jira link, no Friday copy-paste between tools.

Pricing

Flat tiers instead of per-maker math.

$149/mo Starter or $2,499/mo Growth with AI included — the price doesn't change when you add another PM or invite the support team in.

See it on your own data

Point it at your app. Watch what it finds.

The free preview shows you what PilotPM finds in your app's public reviews — no account, no credit card, nothing to connect. If you like what it finds, the free tier takes it from there.

Free trial: 3 seats · 500 credits/mo · no credit card.

Questions teams ask before switching

Switching from Productboard, honestly answered.

Can PilotPM replace Productboard's feedback portal?

PilotPM's intake is the channels your customers already use — email, chat, Slack, App Store reviews. If your workflow depends on a public voting portal, Productboard does that today and PilotPM doesn't.

How does roadmap planning work in PilotPM?

Themes link to initiatives on a monthly roadmap; signals correlate to initiatives automatically, Jira keys attach to cards, and delivery status rolls up from the Jira sync.

What does it cost?

Flat tiers: Starter $149/mo, Growth $2,499/mo, with a free tier (3 seats, 500 credits/mo) to evaluate. Productboard publishes per-maker pricing on productboard.com/pricing.

Something we didn't cover? Email us — a human answers, and we'll tell you honestly if Productboard is the better fit for your team. Full plan details on the pricing table — Starter at $149/mo, Growth at $2,499/mo.

Go deeper

Related reading from the PilotPM blog.