Skip to content
ONE3.ai

Work · Module

Product Management

Customer insight to prioritised roadmap, cited PRD and delivery, in one suite

Planned · Year 2 (W3)Sold as: Add-onC-136

Product Management helps teams decide what to build and why, using evidence from customers and the business, and hands decisions to delivery without re-typing. It closes the loop from Voice of Customer insight to PRD, epics, issues, releases and experiments.

What it does

Product Management is eligible from W3 and enters a sprint only through the plan's scoring with counted design-partner demand. It works with Helpdesk, CRM and Forms sources and is richest when Voice of Customer is also in place.

Evidence first

  • Product hierarchy from product line to product area to feature, optionally linked to sold items.
  • Insight inbox collecting Voice of Customer themes, Helpdesk tickets, CRM deal notes and lost reasons, Forms and Survey responses, sales call summaries, forwarded email and manual entries. Each insight links back to the customer and source record.
  • Insight to feature linking: highlight a quote and link it to one or more features, with AI clustering suggestions that cite the source records.
  • Features and opportunities with a problem statement, target personas, owner, status, effort estimate, linked insights and linked goals.
  • Customer impact view per feature: requesting accounts, open deal value and renewal-at-risk accounts, where CRM and Customer Success data are entitled and permitted.

Decide and communicate

Prioritisation supports RICE, value versus effort and weighted scoring with tenant criteria, plus score history and rationale. AI impact suggestions list their inputs and never overwrite a human score. Roadmaps come in now, next, later and timeline views, with separate roadmaps for internal, sales and customer-facing audiences. A safety check catches internal fields, account names and exact dates before an external roadmap is shared. PRDs use templates, can be drafted by AI from linked insights with citations and assumptions labelled, and go through human review and approval.

Hand off and close the loop

Push to delivery creates an epic and issues in Issues & Sprints, or tasks in Projects when Issues is not entitled, and status syncs back. Release plans group features with readiness from Issues & Sprints. At GA, a customer-facing portal offers a roadmap and idea submission with voting through Portals, with moderation and approved publishing. Close the loop proposes notifications to customers linked through insights when a feature ships, with consent and contact-point checks per recipient and bulk send needing approval.

GA also plans goal and OKR alignment, experiment links, market and competitor notes with citations, importers from Productboard and Jira Product Discovery, the AI Product Manager Assistant and a read-only sales view with commit markers controlled by product.

Features

What Product Management includes

Product hierarchy

Product line, product area and feature, optionally linked to sold items.

Insight inbox

Insights from VoC, tickets, deal notes, lost reasons, surveys, calls, email and manual entry.

Insight to feature linking

Quote highlights linked to features, with cited AI clustering suggestions.

Features and opportunities

Problem statement, personas, owner, status, effort, linked insights and goals.

Prioritisation

RICE, value versus effort and weighted scoring with history and rationale.

Roadmaps by audience

Now, next, later and timeline views for internal, sales and customer audiences.

PRDs

Template-based PRDs with cited AI drafts and an approval workflow.

Push to delivery

Feature to epic and issues, or to tasks in Projects, with status sync.

Release plans

Features grouped into releases with readiness from Issues & Sprints.

Customer impact view

Requesting accounts, open deal value and renewal-at-risk accounts per feature.

Customer-facing portal

Public or login-only roadmap and idea voting with moderation (GA).

Close the loop

Consent-checked notifications to requesters when a feature ships (GA).

Importers

Productboard and Jira Product Discovery exports and CSV (GA).

Workflow

Insight to delivery to close the loop

  1. 1

    Collect insights from VoC themes, tickets, deal notes, surveys and calls

  2. 2

    Cluster them and link to features

  3. 3

    Prioritise with the scoring model and place on the roadmap

  4. 4

    Draft and approve the PRD with citations

  5. 5

    Push to an epic in Issues & Sprints and plan the release

  6. 6

    Optionally run an experiment and record the decision on the feature

  7. 7

    Notify requesters after approval, and log activity in CRM and Customer Success

AI

AI skills and Digital Employees

Insight extraction

Suggests quote highlights from tickets, deal notes and calls.

Insight clustering

Groups insights and suggests feature links with citations.

Impact score suggestions

Suggests reach and impact with inputs listed.

PRD drafts

Drafts PRDs with citations and labelled assumptions.

External roadmap safety check

Catches internal fields, account names and unapproved dates before sharing.

Digital Employees that use this module

They act through the same governed Actions as people; risky steps wait for approval.

Frequently asked questions

Where do insights come from?

Voice of Customer themes, Helpdesk tickets, CRM deal notes and lost reasons, Forms and Survey responses, sales call summaries, forwarded email and manual entries, each linked to its source.

Will AI change our priority scores?

No. AI impact scores are suggestions with their inputs listed and never overwrite a human score.

Is Product Management scheduled?

It is eligible from W3 but not yet placed in a Year-2 increment. It enters a sprint only through the plan's scoring with counted design-partner demand.

See Product Management in your workflow

Tell us about your team and the outcomes you want. We will walk you through the apps, the Digital Employees and the plan for your industry.