Bagel AI vs Miro Insights
Reforge says Reforge Insights will be integrated into Miro’s Product Acceleration offering over time. Miro’s own feedback product is Miro Insights, and it ties requests to revenue and deals. Bagel AI, the product brain, ranks every request by a KPI you pick and checks that KPI with the accounts that asked after launch.
Why product leaders pick Bagel AI over Miro Insights
Miro Insights puts feedback on the same canvas as your specs and prototypes. Bagel AI is built around these four.
Decisions coding agents can read
Bagel MCP serves the validated decision to Claude Code, Cursor and Codex, in 12X fewer tokens than the raw feedback.
Ranked by the KPI you pick
Rank requests by revenue, active users, NPS or a formula of your own.
Specs for Jira, Linear or GitHub
Scoped specs with acceptance criteria go wherever engineering already works.
A price you can see up front
Plans start at $24K a year with unlimited seats, and the price is on the website.
After launch, Bagel AI goes back to the accounts that asked and checks the KPI the decision was ranked on.
Bagel AI and Miro Insights, row by row
Nine things product leaders check when they compare the two.
| What you need |  Bagel AI | |
|---|---|---|
 Where customer signal comes from | CRM, calls, tickets Salesforce, HubSpot, Gong, Zendesk, Intercom, Slack and more sync on their own, with Zapier as a catch-all and a Productboard CSV import | Calls to CRM notes Sales calls, support tickets, chats, threads and CRM notes from 100+ tools, read in full, with the whole taxonomy built and managed for you |
 Accounts and revenue | ARR and deals Each feature shows how many customers asked, the total ARR linked to them, and deals at risk or winnable | Accounts and revenue Every request is tied to the accounts that asked and their revenue |
| How requests get ranked | Value and urgency AI orders the backlog by account value, urgency and what customers want most | Any KPI or formulaBagel AI goes further Ranked by revenue or any KPI you pick, such as active users, NPS or a formula of your own |
 What reaches engineering | Jira, Linear, PRDs Imports epics from Jira and Linear and keeps their status in sync. It writes PRDs in one click and can fill a Jira field with dollar impact | Jira, Linear, GitHub Scoped specs with acceptance criteria and the evidence attached, sent to Jira, Linear or GitHub |
 AI coding agents (MCP) | Boards and docs Miro’s MCP server works with boards, documents, diagrams and prototypes. Its docs don’t list Insights data | Decisions over MCPBagel AI goes further Bagel MCP serves validated product decisions to Claude Code, Cursor and Codex, in 12X fewer tokens than the raw feedback |
| After launch | Status, Slack reports Feature status and delivery dates sync from Jira and Linear, and scheduled agents post reports to Slack. Its docs don’t cover telling the customers who asked or measuring results | KPI, by accountBagel AI goes further Goes back to the accounts that asked and checks the KPI the decision was ranked on |
| Public feedback portal | No No public portal or voting. Insights is an internal workspace | No No public portal. Bagel AI reads requests from the sales calls, tickets, chats and threads you already have |
 Security and compliance | SOC 2, ISO 27001 Miro’s trust center lists SOC 2 Type II, ISO 27001, ISO 42001 and GDPR. Miro Enterprise includes SAML SSO and data residency in the US, EU, Australia or Japan | SOC 2 Type II SOC 2 Type II, GDPR and CCPA, SSO, and a dedicated model per customer that never trains another customer’s model |
| Pricing basis | Through sales Not listed. Insights is in limited availability and priced on a call, and Miro’s October 2025 changelog calls it an Enterprise add-on | From $24K a yearBagel AI goes further From $24K a year, priced by feedback volume, with unlimited seats |
Checked against Miro’s and Reforge’s public pages on October 22, 2026.
Where buyers ask more of Miro Insights
Miro Insights ties requests to revenue and deals next to your boards. The differences show up in how requests get ranked and in what happens after launch.
Follow one request through both tools
Reading what customers say
Miro Insights syncs feedback from CRMs, call recorders, help desks and Slack. Bagel AI reads every sales call, support ticket, chat and thread you connect.
Counting each request once
Insights uses AI to link each piece of feedback to a feature in your backlog. Bagel AI merges repeat mentions of a request into one and ties it to every account that asked.
Ranking what to build
Insights orders the backlog by account value and urgency, and shows the ARR and deals behind each feature. Bagel AI ranks every request by revenue or any KPI you pick, such as active users or a formula of your own.
Handing it to engineering
Insights writes PRDs and business cases in one click, and it pulls epics in from Jira and Linear. Bagel AI sends scoped specs to Jira, Linear or GitHub, and Bagel MCP serves the validated decision in 12X fewer tokens.
Checking it after launch
Insights keeps feature status and delivery dates in sync from Jira and Linear and posts scheduled reports to Slack. Bagel AI goes back to the accounts that asked and checks the KPI the decision was ranked on.
See how Bagel AI ranks requests by your KPI
In a 30-minute demo, you’ll see the calls and tickets behind every ranking.
You can see Bagel AI’s price before the first call
Miro doesn’t list a price for Insights. Its product page says Insights is in limited availability, with pricing shared on a call. Its October 2025 changelog calls Insights a paid add-on for Enterprise plans. Bagel AI plans start at $24K a year with unlimited seats.
Miro Insights
Not listed
In limited availability, priced on a call
Checked October 22, 2026
Bagel AI
$24Ka year to start
A 12-month contract, priced by feedback volume
When Miro Insights is the better pick
Miro Insights is a good tool, and some buyers are better off with it.
Stay with Miro Insights if
- You already run Miro Enterprise and plan your product work on the canvas.
- You want feedback as cards on the same boards where your product work happens.
- You’re a Reforge Insights customer and would rather wait for the move into Miro.
Pick Bagel AI if
- You want requests ranked by a KPI you pick, such as active users or a formula of your own.
- Leadership asks whether last quarter’s bets moved the number for the accounts that asked.
- You want a published price and a tool you can buy on its own.
Moving from Reforge or Miro Insights to Bagel AI
Connect the call, ticket and CRM tools you already use. Bagel AI builds and manages the taxonomy for you, with a model trained on your own data.
What Bagel AI reads
GongSales calls
ZendeskSupport tickets
SalesforceAccounts and revenueBagel AI
The product brain
Where decisions go
JiraScoped specsBagel AI reads each source in full, and decisions land in Jira, Linear or GitHub with the evidence attached.
Connect your sources
Your call recorder, help desk, CRM and chat tools.
Pick the KPI to rank by
Revenue, active users, NPS or a formula of your own. Every ranking shows the calls and tickets behind it.
Run a 30-day pilot
A paid pilot on your own data, with setup and training included. If you continue, its cost comes off your first year.
Product teams at Gong and Tipalti on Bagel AI
“Every SaaS company hits a point where feedback piles up but decisions stall. Bagel AI turns that mess into clear, revenue-focused priorities.”
“Completes the long-time missing part between revenue, product and the customer. It is a product market fit pulse on autopilot”
More Bagel AI comparisons
Questions about Bagel AI and Miro Insights
Miro announced on March 24, 2026 that it’s acquiring Reforge. Reforge says Insights, along with Research and Build, will be integrated into Miro’s Product Acceleration offering over time, with no date given. Reforge also says it will keep supporting all its products. In September 2026, Miro agreed to be acquired by Bending Spoons, and it expects that deal to close in the fourth quarter of 2026.
It depends on where you want feedback to live. If you want requests ranked by a KPI you pick and checked after launch, Bagel AI fits. If you already plan on Miro boards with Miro Enterprise, Miro Insights may be the easier move.
Miro doesn’t list a price. Its product page says Insights is in limited availability, and qualified customers get pricing on a call. Its October 2025 changelog calls Insights a paid add-on for Enterprise plans, and Miro Enterprise is custom priced from 30 members. Bagel AI plans start at $24K a year on a 12-month contract, priced by feedback volume, with unlimited seats.
Yes. Insights imports epics or backlog items from Jira and Linear and keeps their status in sync. It can also fill a Jira field with dollar impact. GitHub and Azure DevOps are listed as coming soon. Bagel AI sends scoped specs to Jira, Linear or GitHub.
Miro’s MCP server lets Claude, Cursor and other AI tools work with boards, documents, diagrams and prototypes. Its docs don’t list Insights feedback or revenue data. Bagel MCP serves validated decisions to Claude Code, Cursor, Codex and other MCP clients, with the scope and evidence attached. In our build-or-buy benchmark, that took 12.3M raw tokens down to 904K.
Revenue or any KPI you pick, such as active users, NPS, churn risk or a formula of your own. Miro Insights ranks the backlog by account value and urgency.
Bagel AI is SOC 2 Type II certified and covers GDPR and CCPA. Each customer gets a dedicated model, so your data never trains another customer’s model. The report and DPA are in the Trust Center.
Ask your AI to compare Bagel AI and Miro Insights
See a ranked request turn into a spec
Bring the number you're measured on to a 30-minute demo.
