PrismaCue
Product Management

Feature asks captured verbatim.  Never paraphrased into the backlog.

PrismaCue captures customer conversations as they happen and maps every feature request onto a living discovery board — the original quote attached, the source call linked, ready to share before the call ends.

The problem

Great customer call.  Feature ask already mangled by the time it hits the backlog.

Product managers talk to customers constantly — and then spend hours trying to reconstruct what was actually said into tickets that no longer carry the weight or precision of the original conversation.

Customer discovery · 38:14
call in progress
Customer

"Every time we onboard a new team we have to re-explain the entire data model. If your tool surfaced a role-based onboarding path automatically, that would be the single biggest thing you could ship."

Customer

"The export is fine, but our compliance team needs an audit trail baked in — not bolted on. We can't adopt without it."

38 min · speaker-attributed · verbatim
PROD-447 · backlog
next sprint

"Customer wants better onboarding. Maybe role-based?"

"Compliance thing — audit log? Check with eng."

[ no source quote · no call linked · no customer name ]
rewriting from memory…
0 original quotes · grounded in nothing

Feature asks lost in paraphrase

A customer says something precise and urgent on a call. By the time it reaches the backlog it has been restated twice — first in meeting notes, then in a ticket summary — and the original words are gone.

Themes hidden across scattered notes

The same pain surfaces across a dozen conversations but nothing connects them. PMs work from recollection and gut feel rather than the pattern across what customers actually said.

No quote, no context, no confidence

When a feature lands in the backlog without the original quote and the call it came from, prioritisation becomes guesswork. The ask exists; the weight behind it does not.

PrismaCue closes the gap: feature asks land on the discovery board verbatim, with their source attached, before the call ends.

How the live canvas works

Context flows in. A living discovery board assembles live.  Quote attached. Source linked.

PrismaCue pulls in context from your customer calls, notes, docs, and Salesforce. As you run discovery, the product-gaps canvas captures feature asks verbatim and maps them by theme — every card grounded in what was actually said.

Capture the conversation

Context flows in from your live customer calls, voice notes, pasted notes, CRM, and docs — every source speaker-attributed and timestamped, nothing lost to a hand-off.

Feature asks land verbatim

The product-gaps canvas captures feature requests at the moment they are spoken — the customer's exact words, not a paraphrase. Cards land on a living discovery board clustered by theme.

Every card shows its source

Each item carries one of three fact-states:  Said — spoken on the call,  Sourced — grounded in your existing docs or prior agreements,  AI-suggested — clearly marked dashed so you decide what ships.

Live-share with the team

Share the discovery board with engineering, design, and leadership while the call is still running. They see a clean, curated view — only verified content, no raw AI noise embedded silently.

Product Gaps — Discovery Board · live
capturing
Onboarding
Said

"If your tool surfaced a role-based onboarding path automatically, that would be the single biggest thing you could ship."

— Acme discovery call

Said

"We need onboarding to handle three distinct personas — the setup friction is different for each."

— Follow-up call

Compliance & Audit
Said

"Our compliance team needs an audit trail baked in — not bolted on. We can't adopt without it."

— Acme discovery call

Sourced

Current export spec has no immutable log — per existing product docs.

Integrations
Said

"We live in Jira — if there's no native sync we'd have to build a workaround and that's a non-starter."

— Evaluation call

Suggested themes
AI-suggested

Possible cluster: "permissions & access control" — overlaps with onboarding + audit asks.

AI-suggested

Consider adding a "Data & Export" column — two sourced gaps have no current home.

Said — verbatim from the call Sourced — grounded in docs AI-suggested — you decide what ships
How product teams use it

Three moments where the canvas changes things.

Product teams run discovery and review calls constantly. PrismaCue makes each one immediately useful — not eventually documented.

Customer discovery call

A customer raises three friction points and a feature request during a discovery session. Each request lands on the product-gaps canvas verbatim at the moment it is spoken — tagged Said, with the speaker and the exact quote attached. By the time the call ends, the PM has a sourced discovery board rather than a set of handwritten notes to interpret later.

Cross-team feature review

Engineering, design, and product align on a roadmap item. Customer-facing requirements that were Said on prior calls surface as Sourced cards on the shared canvas — grounded against the original conversations. AI-suggested scope additions are clearly marked dashed so the team decides what to accept before anything is committed.

Backlog triage session

Multiple feature asks from different conversations are clustered by theme on the living discovery board. Each card carries its source quote and the call it came from, so the team can read back the customer's exact words when weighing priority — not a paraphrased summary of what someone remembers.

Ready to see it live?

See the discovery board build itself on a real customer call.

We run our own calls on PrismaCue. Request a demo and you'll see the product-gaps canvas assembling in real time — feature asks captured verbatim, clustered by theme, shareable before the call ends.

Every card in the demo is labelled:  SaidSourced, or  AI-suggested — so you know exactly what to trust.