MonetizeNow

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MonetizeNow

MonetizeNow unifies CPQ, billing, and metering on one product catalog. I joined as solo design in a tiny startup and built the design practice while shipping onboarding, quoting, and sales visibility as the company grew from 2 to 10 customers.

Role Design Lead
Team Built design practice
Timeline 2.5 years
Customers 2 to 10
MonetizeNow quote-to-cash platform and sales dashboard
The product

MonetizeNow unifies CPQ, billing, and metering on one platform with a single product catalog.

BDR teams are the main users: configure quotes, send contracts through DocuSign, and run billing, including usage-based products where consumption is tracked and invoiced in the same system. The company wins when more customers run quote-to-cash on the platform end to end.

When I joined there were two customers and no real design foundation. My work sat on two sides: onboarding each company's catalog and pricing models in our system, and the quoting and sales experience (revenue recognition, dashboards, and the flows BDRs live in daily). You cannot quote reliably until that catalog setup is right.

Why onboarding mattered

The quoting tool only works if the customer's products, rates, and pricing rules are configured correctly in MonetizeNow first.

What success looks like

More customers on the platform, and onboarding that does not take months.

The gap early on

We were not ready for how companies actually price: scheduled changes on multi-year deals, minimum commitment, trial pricing, and models the tool did not support yet.

How we had to build

Every onboarding change had to scale holistically so one customer's pricing setup did not break another's, not case-by-case patches on a shared platform.

I talked directly with customers in a small startup. I was there when onboarding took about three months, and later when we could look back and say a mid-size company could launch in about three weeks with the features we had shipped.

Onboarding (internal)
3 mo → 3 wk

Retrospective from implementations as we added pricing models and self-service setup, not a formal benchmark study.

  • Rates, tiers, and overrides configurable without months of eng handholding
  • Platform could absorb new pricing patterns without breaking live customers
Customers
2 → 10

Company growth over 2.5 years while quote-to-cash surfaces matured.

  • Feedback compared favorably to Salesforce, HubSpot, and DealHub on ease of use
My role on the product

Design system, design workflow, and quote-to-cash UX with the founders.

I owned the design practice: Figma file structure, design kickoff, design reviews, and a component library with prototypes where before there was only copy-paste UI. I mentored our second designer on design best practices. Most product decisions ran through the CEO and CTO.

The product only works when onboarding, quoting, billing, and usage connect. Every new customer surfaced pricing edge cases; quote and PDF contract parity and a small eng team shaped how fast we could generalize versus patch.

Quote-to-cash surfaces on one catalog:

01
Company onboarding
Load products, tiers, rates, and overrides before any quote goes out. The invisible product that determines whether everything downstream works.
Highest edge-case complexity
02
Quoting
Core BDR workflow. Configure deals, schedule rate changes, maintain live-tool and PDF contract parity.
03
Billing
Payment setup, dunning management, and native Stripe integration.
04
Usage monitoring
Track consumption against quoted limits through customer-facing dashboards.
05
Self-service onboarding
Reduce eng dependency so mid-size companies could configure and launch without a three-month handholding cycle.
Key ops outcome

Shipped work below: onboarding and rates first, then quoting at signing risk, then sales visibility.

Company onboarding
Rates and pricing models
Before

Customers could not configure pricing with enough flexibility, and it was unclear which pricing model applied among similar options like tiered by dollar versus tiered by percentage.

We supported eight rate types on one page in one form, including minimum commitment and tiered structures that look alike but behave differently. The UX had to help teams choose the right model and set it up without breaking customers already live on the platform.

Rates, tiers, and overrides
Company onboarding: pricing tiers, rates, and overrides
BDR quoting
Scheduled changes on multi-year quotes
Why it mattered

On multi-year contracts, buyers and BDRs need to see future rate changes at signing; if the quote and contract hide them, the liability is real.

The design problem was how to show scheduled rate changes on a quote so people understand what changes and when, in the live BDR tool and in the export customers sign. The quote and contract stay in parity: same deal, two formats.

Scheduled changes
Scheduled rate changes on a multi-year quote in the BDR tool
Contract PDF
Scheduled rate changes reflected in the exported contract PDF

Design system foundations (same period):

01
Layout and navigation
Shared page structure across quoting, onboarding, billing, and usage so each surface felt like the same product.
02
Core components
Buttons, inputs, tables, and modals reused across workflows instead of one-off builds per customer request.
03
Interaction states in the component
Hover, focus, disabled, and error states baked into prototypes so engineering couldn't drop them during implementation.
Highest-leverage system decision
04
Domain patterns
Reusable patterns for rate tables, tier configuration, and quote line items that scaled as pricing models got more complex.
Sales visibility
Sales dashboard

If contract data already shows how deals perform, BDRs and team leads should see it in the product.

The sales dashboard gives reps a view of personal goals and performance; team leads can see how their group is doing. Smaller in scope than rates or scheduled changes, but visibility closes the loop after quoting.

BDR performance
Sales dashboard with YTD sales, renewals, and quote activity

Revenue recognition for finance and leadership (same platform):

Revenue recognition
Revenue recognition schedule and deferred vs. recognized revenue
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