Product

Roadmap decisions with the evidence already gathered

The feedback is real. It is just scattered across tickets, calls, reviews, the community, and three feature-request boards. Kentron gathers it continuously, weights it by revenue instead of volume, and keeps the trail, so a prioritisation call can be revisited without being re-argued.

What this replaces

Quarterly planning weeks spent assembling evidence that already existed.

Tobi Mensah11:20 AM

@Receipt what are enterprise accounts asking for that isn't on the roadmap?

ReceiptApp11:26 AM

Three themes across 148 sources. SCIM provisioning: $1.2M ARR across 9 accounts, 4 of them in renewal. Audit-log export: $740K. Per-project RBAC: $510K. The full brief is in Notion with every source linked.

Receiptrcp_3c85

Three jobs Product stops doing by hand

Each one is a single run across the systems you already use, with a policy gate before anything changes and a receipt for every call.

  1. 01

    Build the demand picture from everywhere at once

    You ask

    @Receipt what are customers asking for that we aren't building?

    • Zendesk
    • Gong
    • Productboard
    • HubSpot
    • Notion

    What Kentron does

    1. Reads tickets, sales-call transcripts, feature boards, and community threads together
    2. Clusters by the underlying need, not the words customers happened to use
    3. Weights each cluster by account revenue and renewal proximity
    4. Publishes a brief where every theme links back to its sources

    What it leaves behind

    A prioritisation call can open any theme and read the actual customer sentence behind it, months later.

  2. 02

    Watch the launch instead of refreshing the dashboard

    You ask

    @Receipt we ship at noon. Tell me if anything looks wrong in the first 48 hours.

    • Sentry
    • Google Analytics
    • Zendesk
    • Linear
    • Slack

    What Kentron does

    1. Baselines the affected funnel and error rates before the release goes out
    2. Watches adoption, latency, support volume, and sentiment against that baseline
    3. Separates an ordinary launch dip from a real regression
    4. Escalates with the evidence, and drafts the rollback ticket if it is the latter

    What it leaves behind

    The pre-launch baseline is captured in the receipt, so post-launch claims are measured against a recorded number.

  3. 03

    Keep the changelog and docs honest

    You ask

    @Receipt turn everything merged this sprint into a changelog customers can read.

    • GitHub
    • Linear
    • Notion
    • Confluence

    What Kentron does

    1. Reads merged pull requests and closed issues, and discards internal churn
    2. Groups changes into customer-visible themes and writes them in plain language
    3. Flags shipped changes whose documentation was never updated
    4. Opens the changelog as a draft for a person to edit and publish

    What it leaves behind

    The pull requests behind each changelog entry are preserved, so the question of when something shipped has an answer with a commit attached.

For Product, the proof is the customer's own sentence

Kentron keeps every source it read for a brief: the ticket, the transcript line, the feature request. A roadmap call becomes something you can reopen and check, not something you have to remember.

  • Every theme links back to the customer words behind it
  • Launch claims are measured against a baseline captured before release
  • Changelog entries keep the pull requests behind them

Receipt

Q3 planning input

rcp_3c85
  1. Read: Zendesk

    d40c…8e17

    Read 62 enterprise tickets tagged as feature requests

  2. Read: Gong

    71ba…f5a3

    Read 51 call transcripts for stated needs

  3. Read: Productboard

    0e93…2c68

    Read 35 open feature requests and their votes

  4. Read: HubSpot

    a8f6…b104

    Read ARR and renewal dates for the matching accounts

  5. Wrote: Notion

    3d57…e9c0

    Published the brief with every source linked

5 calls, chain verified

The tools Product usually connects

Any tool you use can be connected. These are where this team tends to start.

  • Zendesk
  • Gong
  • Productboard
  • HubSpot
  • Sentry
  • Google Analytics
  • Linear
  • Notion

Put Kentron on the Product backlog

Connect one system, then read the receipts it writes before you connect the next.

Book Demo