MashvisorReal-estate analytics SaaS · PropTech · Data-heavy UX

How design turned a real-estate analytics SaaS into a decision-ready product.

OutcomeMashvisor turned a data-heavy real-estate investment platform into a more intuitive SaaS experience — improving feature discoverability, property-metric visibility, data visualization, search usability, and agent website-building flows through an embedded Denovers product designer.
Mashvisor. Airbnb-investment analytics SaaS
★★★★★
Denovers untangled our data-heavy analytics platform and rebuilt it as something everyday investors could actually navigate. The attention to detail in every aspect and futuristic collaboration gives us confidence that Denovers will always meet our project requirements. They operated as an extension of our team from day one of the trial.
Erqem
ErqemProduct Manager · Mashvisor · real-estate data analytics platform
ClientMashvisorUS real-estate data analytics SaaS helping investors and agents access market data, evaluate opportunities, compare rental strategies, and make informed investment decisions.
EngagementEmbeddedA dedicated Denovers product designer worked directly with Mashvisor’s product team through regular syncs, product reviews, UX/UI redesign, UI-consistency improvements, and iterative design delivery.
OutcomeRedesignedA redesigned experience across property search, advanced filters, property metrics, SaaS-based tables, graphs, data visualization, investment insights, signup and pricing clarity, and an agent website builder.
The story

From complex data to clearer investment decisions.

Mashvisor did not come to Denovers for a visual refresh only. They needed a design partner who could understand the complexity of real-estate analytics and help make the product easier to use. The platform was not a simple listing website — it was a real-estate investment discovery SaaS with advanced data, filters, property metrics, graphs, tables, investment insights, and agent tools. That meant the redesign had to protect the depth of the product while making the experience more approachable.

That is where Denovers came in. We worked directly with Mashvisor’s team through regular syncs and reviews — the designer collaborated closely with the product team, discussed next steps, reviewed completed work, and responded quickly to feedback. The goal was simple: make powerful real-estate data easier to navigate, easier to visualize, and easier to act on.

Mashvisor real-estate analytics SaaS — an overview of the redesigned product for investors and agents
MashvisorReal-estate analytics SaaS · investors + agents · from data-heavy to decision-readyThe redesign
Chapter 01

UX audit: finding the friction behind the complexity.

The first step was understanding why the product felt hard to use. Mashvisor had years of capability built into the platform, but as more features were added the experience needed a stronger information-architecture pass. The issue was not a lack of features — it was that users had to work too hard to find and use them. Data-heavy SaaS rarely loses because competitors have better data; it loses when users cannot turn the data into a decision.

So the redesign started by identifying where users were facing friction: scattered navigation, features that weren’t easy to find, data hierarchy that needed structure, property metrics that needed clearer presentation, advanced searches that needed fewer steps, tables that needed to be more scannable, signup and pricing that needed clarity, and agent tools that needed to become a first-class experience. We weren’t just redesigning pages — we were rebuilding the path from search to decision.

UX AUDIT · AFFINITY MAP · 7 DAYS · 42 ISSUES → 6 CLUSTERSCLUSTER 01 · NAVIGATIONOverwhelming, scattered.12 ISSUESUsers can’t find rental data.No path between calculators & insights.CLUSTER 02 · DATA HIERARCHYNo signal in the noise.9 ISSUESCap rate buried below cosmetics.No primary action per screen.CLUSTER 03 · CALCULATORSPowerful, but hidden.7 ISSUESNo toggle between STR / LTR.Inputs reset on every recalc.CLUSTER 04 · LISTING TABLESNo structured comparison.6 ISSUESSort doesn’t persist.No way to bulk-shortlist.CLUSTER 05 · AGENT SITENo way to showcase.5 ISSUESAgents asking for portfolio export.No public listing page.CLUSTER 06 · SIGNUPLengthy & complicated.3 ISSUES9-step form, no progress signal.Pricing buried 2 clicks deep.METHOD · STAKEHOLDER INTERVIEWS · HEURISTIC REVIEW · AFFINITY MAPPING IN MIROFrom 42 individual issues to 6 design problems.Each cluster mapped to a product surface in the redesign roadmap.
Audit focusNavigation · data hierarchy · feature discoverability · search friction · tables · pricing · agent toolsWhere the friction was
Chapter 02

Information architecture: rebuilding around what users actually do.

Mashvisor served more than one type of user. Investors needed to search, compare, analyze, and underwrite properties; agents needed to showcase portfolios, publish property-related experiences, and capture leads. The old product structure made it harder to serve both audiences clearly.

So we rebuilt the experience around user tasks instead of feature lists — task-based navigation around actions like Research & Analyze, Find & Invest, Property Management, and Marketing. Instead of users asking “Where is this feature?”, the product started guiding them toward what they wanted to accomplish: search, analyze, compare, build, manage. That shift mattered because real-estate SaaS users don’t open the platform to browse menus — they open it to make decisions.

Mashvisor task-based navigation, three side-panel views: collapsed top-level, expanded with sub-items (Get Started, My Portfolio Performance, Property Performance, Market Regulations), and the user account menu open
Information architectureTask-based navigation · clearer product areas · fewer dead ends · easier feature discoveryIA rebuild
Chapter 03

Property details: making one page the center of the experience.

For Mashvisor, almost every major workflow eventually returned to the property. A user might start from a search, a market analysis, a rental-strategy calculation, or an investment comparison — but at some point they needed to understand one property clearly. So the property-details experience became the spine of the product.

We redesigned the page to help users see the most important investment signals faster, focusing on a persistent KPI panel and tabbed analysis areas where users could move between property information, comps, insights, rental strategy, and investment payback. Instead of scattering information across disconnected views, the page gave users a clearer place to understand the numbers and decide what to do next.

Mashvisor property details page, persistent KPI panel with rental income, cap rate, cash flow; tabbed analysis showing Comps, Insights, Rental Strategy, Investment Payback, General Info, Activity
Property detailsKPI panel · rental income · cap rate · cash flow · comps · insights · rental strategy · paybackThe spine of the product
Chapter 04

Search and filters: helping users reach the right properties faster.

Real-estate investors rarely look at one property in isolation. They compare, filter, narrow, and shortlist — testing different locations, budgets, rental models, and investment assumptions. That made search and filtering one of the most important parts of the experience. Mashvisor needed advanced search, but advanced didn’t have to mean difficult.

We redesigned the experience so users could move through complex searches in fewer clicks, use filters more clearly, and scan results more efficiently — making filters easier to understand and helping users compare property data with less friction. A data-heavy product is only useful when users can reach the right data quickly.

Chapter 05

Listing tables: turning property data into structured comparison.

Tables were a critical part of the product, but tables in real-estate analytics aren’t just containers for data — they’re comparison tools. Users need to compare price, income, occupancy, cap rate, cash flow, location, and other investment signals across multiple properties. So the table experience needed to become more scannable.

We made property metrics easier to view through SaaS-based tables and visual-hierarchy improvements, with graphs and tables working together: tables to compare specific values, graphs to understand patterns. This improved the user’s ability to move from raw property data to useful investment insight.

Mashvisor listing tables, filter chips, sortable columns, hover popup with property preview
Listing tablesSaaS-based tables · property metrics · structured comparison · easier scanningCompare across properties
Chapter 06

Graphs and data visualization: making insights easier to understand.

Mashvisor’s platform had strong data behind it, but strong data doesn’t automatically create strong decisions — the interface needed to help users understand what the numbers meant. That’s where graphs and data visualization became important.

The redesign used graphs to present property metrics and useful insights in a more digestible way, helping users understand patterns, trends, and investment signals without relying only on dense data tables. As the client noted, visualization of data through graphs and SaaS-based tables made it easier to view property metrics and insights for investment decisions. That was the heart of the redesign: not less data — clearer data.

Mashvisor research and analyze surface. Airbnb account sync card, monthly revenue trends bar chart, KPI side panel, occupancy by listing breakdown
Data visualizationGraphs · property metrics · investment insights · trends · decision supportClearer data, not less
Chapter 07

Calculators: turning analysis into a decision tool.

Mashvisor’s calculators were an important part of the investor experience. Users needed to evaluate rental strategies, understand returns, compare assumptions, and make sense of different scenarios. The calculator is where Mashvisor stops being only a data product and becomes a decision tool.

Instead of treating calculators as static forms, the design helped users compare outcomes and understand tradeoffs — short-term vs long-term rental scenarios, cash vs financed assumptions, inputs and outputs shown together, and projection views that help users understand payback and return. The calculator experience helped users move from “I have data” to “I can make a decision.”

Mashvisor rental strategy calculator, short-term/long-term toggle, cash/financed scenarios, inputs and outputs side-by-side with payback projection updating live
CalculatorsRental strategy · STR vs LTR · cash vs financed · investment payback · live scenario comparisonDecision tool
Chapter 08

Agent website builder: making a new feature feel like a product surface.

Mashvisor also wanted to introduce new features with quality design — one important example was the website builder for agents. Agents needed a way to create their own site through the platform while staying connected to related property data, so we designed it as a first-class product surface, not a small setting toggle.

The website builder is a guided flow that helps agents move through setup with more confidence, with steps such as domain, theme, content, portfolio, and publish, plus live preview and portfolio sync from the user’s Mashvisor account. It gave agents a more useful way to showcase their portfolio and use Mashvisor as part of their public-facing presence — and it gave the product a stronger business layer, becoming a differentiator that supports sales conversations and product packaging.

Mashvisor agent website builder, stepper flow with live preview and portfolio sync from the user's Mashvisor account
Website builderAgent site creation · stepper flow · live preview · portfolio sync · publish flowNew product surface
Chapter 09

Signup and pricing: making the on-ramp easier to understand.

A strong SaaS product can still lose users before they reach the product — the on-ramp matters. Signup and pricing needed better clarity, with a more legible signup flow and pricing structure. We redesigned signup to make the first step easier and more focused: instead of overwhelming users, the experience helped them select how they wanted to use Mashvisor and move through the flow with clearer progress.

Pricing was structured more clearly, giving prospects a better way to understand available plans and decide without needing the sales team to explain everything manually. This supported a smoother path from interest to product usage.

Mashvisor signup stepper Step 1 of 3, ‘How do you want to use Mashvisor?’ with use-case selection cards: Research & Analyze, Find & Invest, Property Management, Marketing, Other Need, with progress indicator at bottom
SignupUse-case selection · progress indicator · easier product entry · reduced confusionThe on-ramp
Mashvisor pricing page, four tiers (Lite, Standard with Most Popular tag, Professional, Enterprise) with billing toggle (Every 3 months / Yearly) and per-tier feature lists
PricingClearer plans · structured tiers · billing toggle · self-serve decisionInterest → usage
Outcome · Impact

From data-heavy to decision-ready.

Mashvisor came to Denovers with a powerful real-estate analytics platform that needed stronger usability and UI consistency. We helped redesign the product experience so users could navigate the platform more easily, view property metrics more clearly, understand data through graphs and SaaS-based tables, and use advanced features with less friction. The work addressed functionality problems, improved data visualization, introduced a more user-friendly experience, and supported new feature development such as the agent website builder.

The result was a product that made real-estate investment data easier to understand and act on. Investors could search, compare, analyze, and evaluate properties with more confidence; agents could use productized tools to build and publish their own web presence. The platform became more intuitive, more consistent, and more decision-ready.

Across the engagement, Mashvisor strengthened product usability, UI consistency, property-metric visibility, data visualization, advanced search and filtering, listing-table readability, investment-decision support, agent website-building workflows, signup and pricing clarity, and feature discoverability. Because for a data-heavy real-estate SaaS, users don’t need less information — they need a better way to move through it.


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