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All-in-one revenue management suite with AI-recommended rates

Cubby is a self-storage management platform that's modernizing a $50B industry. I led the 0→1 design of Cubby’s Revenue Suite with a cross-functional team of engineers and product managers.

Problem

Self-storage operators have no unified system for managing pricing. They juggle multiple tools for rates, discounts, and competitor tracking — making it harder to spot opportunities, weigh risks, and act with confidence.

Company
Cubby
Role
Lead designer
Year
2024

All-in-one revenue management suite with AI-recommended rates

Cubby is a self-storage management platform that's modernizing a $50B industry. I led the 0→1 design of Cubby’s Revenue Suite with a cross-functional team of engineers and product managers.

Problem

Self-storage operators have no unified system for managing pricing. They juggle multiple tools for rates, discounts, and competitor tracking — making it harder to spot opportunities, weigh risks, and act with confidence.

Company
Cubby
Role
Lead designer
Year
2024

All-in-one revenue management suite with AI-recommended rates

Cubby is a self-storage management platform that's modernizing a $50B industry. I led the 0→1 design of Cubby’s Revenue Suite with a cross-functional team of engineers and product managers.

Problem

Self-storage operators have no unified system for managing pricing. They juggle multiple tools for rates, discounts, and competitor tracking — making it harder to spot opportunities, weigh risks, and act with confidence.

Company
Cubby
Role
Lead designer
Year
2024
Research
Research
Research

We began by focusing on multi-facility enterprise operators who tend to be experienced, metrics-driven operators. Unlike on-site managers who focus on daily operations, these decision-makers oversee pricing strategy across facilities at a regional or corporate level.

Set rates smartly
Stand out from competition
Analyze pricing impact
Raise rates for under-market tenants

Set unit rates & discounts

Set unit rates & discounts

Set unit rates & discounts

We learned from operators that effective pricing depends on four things: quality data, awareness of market position, understanding how facility amenities shape perception, and a clear strategy for how urgently you need to fill units.

The experience had to support key workflows such as setting rates individually or in bulk and analyzing data patterns across pricing groups. We leaned on familiar data-table behaviors — sorting, filtering, and grouping — to help operators quickly spot outliers and trends, and act decisively.

Ai recommended rates

Our recommendations use customers' price change history, nearby competitor prices, and pricing group occupancy to predict which rate each customer is most likely to choose.

Ai recommended rates

Our recommendations use customers' price change history, nearby competitor prices, and pricing group occupancy to predict which rate each customer is most likely to choose.

Ai recommended rates

Our recommendations use customers' price change history, nearby competitor prices, and pricing group occupancy to predict which rate each customer is most likely to choose.

Weight the influence of comp prices over rate recommendations

Operators can control how much — if at all — competitor pricing influences their recommended rates.

Weight the influence of comp prices over rate recommendations

Operators can control how much — if at all — competitor pricing influences their recommended rates.

Weight the influence of comp prices over rate recommendations

Operators can control how much — if at all — competitor pricing influences their recommended rates.

Market competitors and their influence on recommended rates

Used the StorTrack API to surface competitor prices and discounts — displayed in a sortable data table and contextually on a map.

Market competitors and their influence on recommended rates

Used the StorTrack API to surface competitor prices and discounts — displayed in a sortable data table and contextually on a map.

Market competitors and their influence on recommended rates

Used the StorTrack API to surface competitor prices and discounts — displayed in a sortable data table and contextually on a map.

Design evolution

The first version of the sidebar surfaced key metrics but overwhelmed users with text and buried some of the market competitors under the fold. The redesigned version simplified the layout, introduced discounts, standardized insights, and added clear explanations that framed changes and their impact.

Design evolution

The first version of the sidebar surfaced key metrics but overwhelmed users with text and buried some of the market competitors under the fold. The redesigned version simplified the layout, introduced discounts, standardized insights, and added clear explanations that framed changes and their impact.

Design evolution

The first version of the sidebar surfaced key metrics but overwhelmed users with text and buried some of the market competitors under the fold. The redesigned version simplified the layout, introduced discounts, standardized insights, and added clear explanations that framed changes and their impact.

Raise rates for under-market tenants

Set unit rates & discounts

Set unit rates & discounts

Operators use Existing Customer Rate Increases (ECRIs) as a strategy to attract new renters with below-market prices and then gradually raise those rates over time until they reach the market standard. Our design challenge was to give operators the tools and visibility to manage ECRIs confidently while balancing revenue opportunity with customer retention.

Set a rate increase timing cadence for tenants

The first number represents the initial monthly increase decision date, while the following numbers define the recurring intervals for future increases.

Set a rate increase timing cadence for tenants

The first number represents the initial monthly increase decision date, while the following numbers define the recurring intervals for future increases.

Set a rate increase timing cadence for tenants

The first number represents the initial monthly increase decision date, while the following numbers define the recurring intervals for future increases.

Snooze eligible tenants for later rate increase decision

Give operators flexibility to defer increases while maintaining a clear view of who’s next in cadence.

Operators can add comments to keep the team aligned on the reasoning behind each decision.

Snooze eligible tenants for later rate increase decision

Give operators flexibility to defer increases while maintaining a clear view of who’s next in cadence.

Operators can add comments to keep the team aligned on the reasoning behind each decision.

Snooze eligible tenants for later rate increase decision

Give operators flexibility to defer increases while maintaining a clear view of who’s next in cadence.

Operators can add comments to keep the team aligned on the reasoning behind each decision.

Tenant's rate history timeline

Shows the timeline of pricing decisions since move-in to help contextualize the customer's history of increases and operator feedback.

Tenant's rate history timeline

Shows the timeline of pricing decisions since move-in to help contextualize the customer's history of increases and operator feedback.

Tenant's rate history timeline

Shows the timeline of pricing decisions since move-in to help contextualize the customer's history of increases and operator feedback.

The impact

The revenue suite played a pivotal role in securing Cubby's $63M Series A and winning a top-10 enterprise operator — validating the all-in-one platform strategy and helping drive $4M ARR in a single month.

The impact

The revenue suite played a pivotal role in securing Cubby's $63M Series A and winning a top-10 enterprise operator — validating the all-in-one platform strategy and helping drive $4M ARR in a single month.

The impact

The revenue suite played a pivotal role in securing Cubby's $63M Series A and winning a top-10 enterprise operator — validating the all-in-one platform strategy and helping drive $4M ARR in a single month.

✔︎

$63 M Series A
$63 M Series A
$63 M Series A

January 2026 new funding round by Goldman Sachs Alternatives and existing investors.

$4M ARR closed in one month
$4M ARR closed in one month
$4M ARR closed in one month

Secured a top-10 enterprise storage operator contributing to record closed in Sep 2025