FeatQ vs Productboard

FeatQ is the better choice when the job is to collect feature requests, let customers vote, and turn the strongest demand into shipped work. There are no per-user or per-seat fees. The bill is identical with 10 voters or 10,000 voters, and each board supports up to 10,000 voters. Participation can grow without creating a new software line item for every person who joins the conversation.

It is also the shorter route to a working board. Create one, share the link, and it can be live in minutes. There is no sales call before setup and no wider product operating system to configure. The board, votes, statuses, roadmap, and changelog stay focused on the visible request queue.

MCP comes third, but it changes what happens after votes arrive. FeatQ includes a first-party MCP server on every plan. Any standard MCP client can connect through a board-scoped bearer key, read the queue, generate a specification, and update request status after delivery.

Productboard is built for a different scope. It combines roadmaps, OKRs, insight aggregation, prioritization, and delivery integrations. Its customer voting portal is one module inside that platform. Makers who own roadmaps and prioritize work require paid seats, while contributors who submit feedback do not count toward the maker limit. Independent reviews on G2 and TrustRadius consistently flag a steep learning curve and per-maker costs that rise as more people need to manage the product system.

FeatQ costs $29 per month, $19 per month billed yearly at $228 per year, or $199 once for the 50-seat Lifetime founding deal. There is no separate charge for a voter, contributor, roadmap editor, or teammate. Each board supports up to 10,000 voters, and the subscription amount does not change when more customers participate.

Productboard uses a legitimate per-maker model. As of July 2026, from productboard.com/pricing, Plus is $19 per maker per month billed annually or $25 billed monthly. Business is $59 per maker per month billed annually or $75 billed monthly, with a 2-maker minimum. Enterprise is custom-priced, has a 5-maker minimum, and is billed annually only.

Makers are the people who own product strategy, create roadmaps, prioritize features, and manage insights. Contributors can submit feedback and collaborate without counting toward the maker limit. This prevents every feedback submitter from becoming a paid seat. It still means the cost increases when more coworkers need direct control over roadmaps and prioritization.

The Business math shows the difference. Using first-party prices from July 2026, five makers on Business cost $295 per month when billed annually. FeatQ remains $29 per month total, or $19 per month billed yearly. These products do not have the same scope, so the lower total does not replace Productboard's roadmaps, OKRs, integrations, or governance. It shows what the focused board costs when those platform functions are not requirements.

Productboard also bundles Spark AI credits into every plan. Those credits renew monthly and expire without rollover. The allowance ranges from 50 workspace credits on Free to 800 credits per maker on Enterprise as of July 2026. That is another usage dimension to forecast beside maker seats. Read the complete plan table, credit rules, and 2026 rename history in the Productboard pricing guide.

FeatQ setup is deliberately narrow. Create the board, define the public request destination, and share the link. Customers can submit requests and vote without waiting for an internal product taxonomy, company-wide hierarchy, or delivery integration to be modeled first. The board can start collecting useful demand in minutes.

Productboard setup reflects the scope of Productboard. A buyer has to decide who needs a maker seat, how insights enter the system, which products and components need structure, how roadmaps should be presented, and whether Jira or Azure DevOps needs to sync. A 14-day Business trial is available as of July 2026, from productboard.com/pricing, but learning and configuring the system is still part of evaluating the wider platform.

Independent G2 and TrustRadius reviews consistently describe a steep learning curve. That feedback should not be turned into an invented implementation estimate. It is a signal to budget owner attention, establish a clear information model, and test the workflows that matter before adding many makers.

Plan gates add another setup decision. As of July 2026, SAML SSO, SCIM, custom roles, Salesforce, on-prem Jira and Azure DevOps, and live onboarding are Enterprise-only. Portal customization starts on Business. Free and Plus include one Product Portal and one Jira and one Azure DevOps integration each. Business includes two portals and five of each delivery integration. Enterprise offers two or more portals and unlimited delivery integrations.

None of those gates makes Productboard a poor product. They show why the buying question must begin with scope. If the organization needs a shared product-management system, the setup work supports that goal. If it needs a customer voting board, the larger model can become work that does not improve the request signal.

Productboard has a capable developer surface. It offers a public REST API, webhooks for event notifications, and an llms.txt index intended for AI agents. Those resources can support custom automation and make its documentation easier for agents to use. Productboard has no first-party MCP server as of July 2026; community-built servers exist.

The distinction is ownership and connection path. A community server can be useful, but the buyer has to evaluate its maintainer, permissions, deployment, authentication, and compatibility with Productboard API changes. A REST integration can also be built directly, but then the team owns the connector and its upkeep.

FeatQ ships the MCP endpoint as part of the product. It uses standard streamable HTTP at /api/mcp, authenticates with a board-scoped bearer key, and works with any standard MCP client. Claude Code, Codex CLI, Cursor, and other compatible clients can use the same connection model. MCP is included on every plan.

Five tools cover the working loop. An agent can use list_requests to find demand, get_request to inspect context, generate_spec to produce an implementation plan, update_request_status to reflect progress, and get_board_stats to understand the board. The agent works against the same queue customers voted on, without copying the request into a separate prompt by hand.

See the endpoint, authentication format, and client configuration in the MCP documentation.