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Monnet coordinates your team and agents. Move feature ideas autonomously from intake to decision to delivery.

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Show customers when their CRM data last synced
Can we add bulk editing to the customer table?
Add SAML SSO
Can we add CSV export to the analytics dashboard?
Let workspace admins approve access requests in Slack
Customers keep asking to save dashboard views

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Monnet works with the person raising the request to uncover the real need, resolve ambiguity, and gather missing context. Grounded in your priorities, policies, playbooks, and past decisions, the result is a qualified brief that’s ready to review.

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πŸš€ Add CSV export to the analytics dashboard Updated just now

πŸš€ Add CSV export to the analytics dashboard

Estimate effort and relative priority Approve the request to move forward Collect cross-functional approvals
Estimate effort and relative priority
Approve the request to move forward
Collect cross-functional approvals
Approve the customer experienceMessaging on Slack
Approve the technical approachMessaging on Slack
Approve the customer fitMessaging on Slack
Execute the approved plan
Approve the completed feature

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tasks moving

Once a brief is ready, Monnet turns it into a coordination plan. It routes design and engineering tasks, orchestrates cross-functional reviews, and collects approvals, bringing in people and team agents as needed.

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Monnet records what was decided and why, creating a growing memory of your organization’s priorities, tradeoffs, and reasoning. Every new endeavor starts smarter, and the context stays with the team when people move on.

Closed Updated 2h ago Normal

πŸš€ Add CSV export to the analytics dashboard

Anthony Barskin Created today

Problem Statement

Customer teams rely on the analytics dashboard for weekly reporting but cannot take filtered data into their existing workflows. They either copy rows manually or ask support for one-off exports, creating friction for customers and recurring work for the team.

Goals

  • Let workspace admins export the current filtered view as a CSV.
  • Reuse existing report-download permissions so exports never expose additional data.
  • Meet current reporting needs without introducing background export infrastructure.

Options considered

Decision notes

Scope

Export every row matching the current filters, not only the rows visible on screen.

Row limit

Cap the first release at 10,000 rows. Larger exports can follow once demand justifies background jobs.

Permissions

Mirror the viewer’s existing permissions and omit internal notes from every export.

Appendix β€” customer requests Β· report permission model Β· engineering estimate Β· data export policy

Use cases

Automate the workflows behind product and IT requests, from intake to approval and execution.

Move feature requests from idea to build

Problem

Turning a feature idea into a shared spec takes too long. PMs spend days getting design and engineering aligned on the need, scope, tradeoffs, and implementation approach before work can begin.

Solution

Monnet helps develop the idea into a clear brief, gathers input from design and engineering, resolves open questions, and coordinates the reviews, tasks, and approvals needed to move it into development.

Develop the brief Align design and engineering Resolve open questions Coordinate delivery
We use Monnet to help us move faster on important design decisions at LemonHealth. Monnet AI collects inputs across stakeholders and organizes the chaos into clear supporting points which facilitate the decision.
Deniz Binay CEO at LemonHealth

Frequently
asked
questions

How long does it take to set up?

A few minutes. Create your workspace, add your team and Monnet can get to work right away.

How much does it cost?

Nothing right now. Monnet is in early access, and we'd rather learn with our first teams than charge them. Pricing will come later, with plenty of notice.

How is individual input handled?

Monnet is instructed not to share individual conversations verbatim. It synthesizes relevant input into briefs, plans, and recommendations.

Is our data used to train AI models?

No. We don't train Monnet on customer data. Our model providers don't either.

What languages does Monnet support?

Monnet interviews and summarizes in your team's preferred languages, so no one is left out of the decision.

Does it replace our existing tools?

No. Monnet sits on top of them. It works with Slack, Notion, Jira, and the rest, and keeps the decision and its plan in one place.

Monnet coordinates your team and agents.
Move feature ideas autonomously from intake to decision to delivery.

Sign up Free while in early access