AI agents for Productboard
A Monmo agent works in Productboard the way a product operations analyst would. It turns feedback from support tickets, sales calls and surveys into notes, links each insight to the right feature, summarises demand by customer segment and drafts the roadmap update for stakeholders. It uses your own Productboard account and asks before it creates notes, links insights or changes a feature.
Updated 2026-11-13 · Free to start. Paid plans from $15 a month.
What agents do in Productboard
File feedback as notes
It collects requests from Intercom conversations, Zendesk tickets and Gong call summaries, and drafts a Productboard note for each with the customer and company attached.
AskEvery Monday, file last week's feature requests from Zendesk as Productboard notes with the customer attached. Show me first.
Process the insights inbox
For each unprocessed note it highlights the relevant passage and suggests the feature it belongs to, or a new feature when nothing fits, so the inbox stops piling up.
AskProcess the 40 oldest notes in our Productboard inbox. Suggest the feature for each insight before linking.
Summarise demand by segment
Ask what enterprise customers want most and it groups linked insights by feature and segment, weighs them by importance and writes a short ranked summary with quotes.
AskWhat are enterprise customers asking for most this quarter? Rank features by linked insights, with two quotes each.
Prepare the prioritisation session
Before planning it pulls each candidate feature's insights, customer value, effort estimate and objective, and lays them out in Google Sheets so the team can score and decide.
AskPrepare a sheet of the 15 features under consideration for Q2: insights, customers, effort and objective for each.
Draft the roadmap update
Each month it reads changes to the roadmap and release status and drafts a stakeholder update: what shipped, what moved and why, and what comes next.
AskDraft this month's roadmap update for the sales and support teams from Productboard.
Close the loop with customers
When a feature ships, it lists the customers whose feedback is linked to it and drafts a short personal note to each from Gmail, sent only when you approve.
AskBulk export shipped. List everyone whose feedback is linked to it and draft a short note to each.
Hand features to Jira
For features ready to build, it drafts the Jira epic with the problem statement, key insights and acceptance criteria, and links it back to the feature in Productboard.
AskDraft a Jira epic for the Audit log feature with the problem, top insights and acceptance criteria.
How it connects
- 1You connect your own Productboard account once; pushing notes in through the API may need a token from a workspace admin. The agent sees the products, features and notes your role can see.
- 2You choose which agents may use Productboard. A research or product agent that processes feedback needs it, a support agent may only file notes, and sales agents can stay out.
- 3Reading notes, features and roadmaps needs no approval. Creating a note, linking an insight, creating or editing a feature, changing a status or publishing to your portal asks first.
More in Projects, tasks and time
Other apps of this kind that agents work in, each with its own page.
Questions people ask
Can an AI agent process the Productboard inbox?
Yes, one approved batch at a time. A Monmo agent reads unprocessed notes, highlights the insight in each and suggests which feature it belongs to. You see the links on one card before they are saved, through the Productboard connection or in its own browser when the connection does not cover something.
Can it bring feedback from Zendesk and Intercom into Productboard?
It can. The agent reads tickets in Zendesk and conversations in Intercom, picks out the product feedback and drafts a note for each with the customer and company attached. Creating the notes asks first, and feedback that repeats an existing note is flagged rather than added twice.
Will the agent decide what goes on our roadmap?
No. Prioritisation is a product decision. The agent assembles the evidence for each feature: how many customers asked, from which segments, which objective it serves and what it might cost, and lays it out so your team can decide. Changing the roadmap waits for you.
Can it tell customers when their request ships?
Yes, with your approval. When a feature is released, the AI agent lists every customer whose feedback is linked to it and drafts a short message for each that refers to what they asked for. Each batch of messages is shown on a card before anything is sent.