Maptionnaire vs. Senf: which community engagement platform fits a private-sector planning firm

Maptionnaire and Senf both let planning teams collect spatial input from communities online, and both sell to private-sector planning, design, and engineering consultancies. The difference is what each product treats as the unit of work. Maptionnaire is built around the map-based survey and the spatial analysis that follows it, with fifteen years of depth in that specific problem. Senf is built around the consulting project: setup generated from an RFP, AI categorization of open text, and a client-ready deliverable at the end of it. What follows covers where each one genuinely fits, checked against Maptionnaire’s own published pages in August 2026.

This is written for firms already running Maptionnaire and wondering whether to move, and for firms weighing both for the first time.

Quick comparison

Both platforms are credible, and the table below describes fit rather than quality. Confirm pricing with each vendor directly; Maptionnaire quotes rather than publishes.

How the two products differ on what they are built around

Maptionnaire started as a map-based questionnaire tool and the survey is still where its gravity sits. The map-question toolkit is the deepest in the category: follow-up questions triggered by a map marking, response-area masking, geobudgeting against a fixed budget, upvoting on other people’s markings, and map jumps that move a respondent based on their answers. Analysis then runs on that data inside the same platform, with a linked map and chart view that filters in both directions. A firm whose hardest problem is collecting spatially precise input will find real depth there.

Senf starts a step earlier and finishes a step later. The project is the unit: a project can be generated from an uploaded RFP in minutes, with the study area, a draft survey, a draft project website and the firm’s branding already in place. Open text answers run through AI categorization against the tag set the firm actually uses on that project, with bulk override where context matters more than keywords. Reporting produces the artifact the client receives. Surveys sit inside that arc rather than defining it.

The practical split shows up in how a firm spends its hours. If the bottleneck is the sophistication of what you can ask on a map, Maptionnaire’s depth answers it. If the bottleneck is the non-billable time between the last response arriving and the deliverable going out, that is a different problem, and it is the one Senf was built against.

What Maptionnaire’s pricing looks like now

Maptionnaire rebuilt its pricing in 2026, and older comparisons describing per-survey charges are out of date. There are now two tracks. Unlimited Projects covers three annual tiers, Collect, Communicate, and Enterprise, scoped to organization size and portfolio, with no per-survey or per-respondent metering and no cap on users or participants. Single Project gives twelve months of full platform access scoped to one client engagement, matching the Communicate feature set, with no auto-renewal.

What each tier includes matters more than the tier names. Collect covers survey design, collection, and analysis, without public-facing project pages or reporting. Communicate adds project pages, branded auto-updating report pages, and public discussion. Enterprise adds multi-office workspaces, SSO, white labeling, API integration, advanced participatory budgeting, and auto-generated PDFs. A firm that wants a branded PDF to hand a client is buying the top tier to get it.

Neither track carries a published figure. Both are quoted after a conversation. Unlimited Projects plans renew automatically on a one-year cycle and require two months’ notice to cancel, with no refunds on active subscriptions; data and projects are retained for 90 days only after a subscription expires.

Senf publishes its numbers. A project license covers one project with unlimited surveys, maps, and modules inside it, and an annual license covers unlimited projects. Both include every module, every AI feature, onboarding, and support, with no per-seat or per-module fees. Data stays viewable and exportable after a license expires; what stops is creating new projects. For a firm costing engagement into a fixed-fee proposal, the difference is whether the number is available on the pricing page while the proposal is being written or after a sales call.

AI analysis: the question is what the AI hands you

Both platforms run AI on open-text responses. Maptionnaire’s analysis applies an LLM to open-ended results for sentiment and summaries, enriched with spatial and demographic context.

Senf runs AI categorization against the tag set defined for that project, extracts themes, scores sentiment, and lets a planner select many comments at once and reassign them in bulk after the first pass. The model has been tuned on planning language over two and a half years, and the output feeds the reporting layer directly rather than leaving through an export.

The useful test during evaluation runs on your own data, not on a feature list. Take three hundred real comments from a past project, load them into each platform, and ask two questions. Do they come back sorted into the categories your report actually uses, or do they come back summarized, leaving the sorting to a person? And does the output arrive in a form the client can receive, or in a form someone on your team has to assemble first?

Design Collective described what that assembly used to cost them:

“We would be taking one to two days depending on how much data we had and synthesizing it. Almost up to a week sometimes.”

On fixed-fee work, those are hours nobody bills. Senf clients report a 70–90% reduction in analysis time on projects carrying more than a thousand open-text responses.

Accessibility and the April 2027 deadline

The DOJ’s rule under ADA Title II requires state and local government web content to meet WCAG 2.1 Level AA by April 26, 2027 for larger jurisdictions, and by April 26, 2028 for smaller entities and special districts. The scope reaches third-party tools an agency makes available to the public, which means the survey, the project page, and the comment map a consultant brings into the process. Agencies have started writing it into solicitations.

Read every vendor’s accessibility statement rather than its marketing page, and read the part about maps specifically. Map components are where published statements across this category most often diverge from the summary claim on the homepage, and the map is usually the most valuable thing a planning firm collects.

Senf’s platform has been audited by an external firm covering keyboard navigation, screen-reader compatibility, color contrast, focus order, ARIA roles, and semantic structure, and tested with blind, low-vision, and mobility-impaired participants through a university research partnership. The map itself can be operated by keyboard with voice output: dropping points, drawing routes and areas, and selecting contributions without a mouse.

When Maptionnaire is the better fit

Maptionnaire wins where the map question itself is the hard part. Pop-up questions attached to specific locations, geobudgeting against a constrained budget, response-area masking, upvoting between respondents: that toolkit is deep and has fifteen years behind it, with 25 million participants and 15,000 projects across more than forty countries.

Both platforms sync live with ArcGIS Online, so that is parity rather than a deciding factor; the question is which analysis surface your team prefers to work inside before anything reaches GIS.

Advanced participatory budgeting with voter authentication is shipped on their Enterprise tier. And a firm whose analysis and reporting workflow already produces client-ready output it is happy with has less to gain from consolidation; the case for Senf is strongest where the workflow hurts.

When Senf is the better fit

Senf fits firms whose constraint sits after collection rather than during it, where engagement work spreads across a team instead of concentrating in one technical specialist, and where proposals are won or lost on how tangible the methodology looks.

Design Collective uses it as part of how the firm wins work. Brian Reetz, Principal at Design Collective:

“Including Senf in our proposals has become a real competitive advantage for Design Collective. It signals innovation to clients — and it wins projects.”

McKenna runs engagement across dozens of active Michigan municipal projects at once, having moved from Social Pinpoint. At that volume the analysis layer carries the value: thousands of open-text responses moving from collection through categorization into reporting, without the Excel-plus-chatbot workaround most consulting firms have quietly built around their existing tools.

Bohler Engineering operates at a different scale again, a land development firm of 500 to 1,000 people across 43 US offices, producing structured community-support documentation for planning commission reviews. The use case sits downstream of comprehensive planning, in entitlement support, and it fits because the firm’s problem is documentation rigor at volume.

There is also the timing question, which nobody puts in a feature table. When a proposal is due Friday, a live project built from your RFP inside a day changes what you can put in the submission. That is the comparison worth running, especially for fast-moving transportation planning pursuits.

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