After HubSpot acquired Clearbit, I made its data enrichment feel native to the CRM, and it shipped on schedule at INBOUND ’24 as part of Breeze Intelligence.
Hero image
Company / product
HubSpot, Breeze Intelligence (Data Enrichment)
My role
Product Designer, then Senior Product Designer; UX lead and vision owner for Data Enrichment
Team
[PM], the Clearbit product and engineering team, [N HubSpot engineers], Content Design
Stakeholders
Fintech, Growth, CRM and Marketing Hub teams; a Design Director; the Buyer Intent team
After acquiring Clearbit, HubSpot needed Clearbit’s enrichment inside the CRM by INBOUND ’24, under a new usage-based pricing model. Brought over unchanged, Clearbit’s concepts and terms would have felt foreign to HubSpot users.
Solution
I set the enrichment vision in 2023, then built the in-CRM experience on familiar HubSpot patterns for tracking enrichment and spending credits, with one shared vocabulary across Breeze features. Along the way, I aligned the Clearbit team and four partner organizations.
Impact
Shipped on schedule at INBOUND ’24, one of HubSpot’s top-priority launches that year
Consistent patterns validated by beta user feedback
[Add: an adoption metric after launch, e.g. portals enriching, records enriched, or credits spent]
Context and problem
Business context: HubSpot acquired Clearbit to offer company and contact enrichment natively, as part of the Breeze AI launch at INBOUND ’24. Enrichment came with a new pricing and packaging model built on usage-based credits, which touched billing, growth and every hub that uses CRM data.
Customer problem: CRM records were often incomplete or out of date, so sales and marketing teams spent time on manual research or paid for separate enrichment tools. [Add: what customers told you in discovery, and which enrichment tools or workarounds they used.]
Design problem: Clearbit’s product had its own concepts, terms and workflows. Moved into HubSpot as they were, they would feel foreign to HubSpot users and clash with existing CRM patterns.
Evidence: [Add: findings from your feature-priority research, e.g. number of customers surveyed or interviewed, and the top-ranked enrichment needs.]
“[Customer quote about incomplete CRM data or the pain of manual research]”
Problem statement: How might we bring Clearbit’s enrichment into HubSpot so it feels native and easy to understand, despite a new pricing model and a hard launch date?
My role and constraints
I owned: Research and discovery, the product and UX vision for Data Enrichment, and the end-to-end enrichment experience in the CRM. I ran the key design and content conversations and shared decisions across teams.
I partnered on: Pricing and packaging (usage-based billing workstreams) with Fintech and Growth; the Breeze Intelligence and Growth journey; consistency with the Buyer Intent designs; and terminology with Content Design. I also helped onboard the Clearbit team, new PMs and a Design Director, and helped hire the PM for this area.
Constraints
Time: A fixed public launch at INBOUND ’24.
Organizational: An acquired team learning how HubSpot works; a lot of churn early on; many teams with a stake in a new pricing model.
Platform: Rigid limits on what could change in the CRM and billing system in time for launch.
Bandwidth: I was also the designer for Data Quality, so I had to prioritize carefully and hand off work.
Process
Discover (2023)
I owned research and discovery for Data Enrichment in broad, ambiguous territory, using my research background to frame the opportunity. I ran feature-priority research to rank what customers needed most from enrichment.
Key insight: [Add: the finding that shaped the vision, e.g. users expected enrichment to happen automatically on the records they already work in.]
Research artifact
Feature-priority research results.
Define the vision (2023)
I wrote the Data Enrichment vision and aligned the related teams around it, including Sales and Prospecting. When the frontend engineers were about to run out of work, I quickly reshaped the plan to keep them unblocked.
Vision deck
Slides from the enrichment vision deck.
Align with Clearbit (early 2024)
I mapped Clearbit’s concepts onto ones HubSpot users already knew. I wrote a master terminology doc and a UX and content alignment doc, and contributed to the Breeze Intelligence and Growth lo-fi journey.
Terminology map
Terminology map comparing Clearbit terms with HubSpot terms.
Design and validate (spring – summer 2024)
I designed the in-CRM experience under tight timelines and tested the patterns with beta users before INBOUND. [Add: number of beta users and what changed because of their feedback.]
Prototype
Beta prototype.
Key decisions and tradeoffs
How to bring in Clearbit’s UX
Options
Port Clearbit’s experience as it was, or rebuild it on HubSpot patterns
What I chose and why
Reuse existing HubSpot components for tracking enrichment and spending credits, so it matched how users already think about the product and could ship on time
Tradeoff accepted
Some Clearbit features and differentiators were simplified or deferred
Consistency across Breeze features
Options
Separate patterns for each team, or shared patterns
What I chose and why
Pushed for consistency with Buyer Intent and other Breeze features, and beta feedback confirmed it
Tradeoff accepted
Required negotiating with several teams on their own timelines
Terminology
Options
Keep Clearbit’s names, or use HubSpot’s language
What I chose and why
A single master terminology doc built on HubSpot terms, aligned with Content Design
Tradeoff accepted
[Add: any Clearbit terms you kept and why]
How I got buy-in: I used research and competitive insights to inform decisions that affected many teams. I owned the key conversations and made sure every team understood the decisions. [Add: one specific debate and how it was settled.]
The solution
Enrichment where users already work
Company and contact records fill in automatically in the CRM, so users don’t need a separate tool or manual research. [Add: how users turn it on, e.g. automatic enrichment vs. on demand, by record or in bulk.]
Before / after
A CRM record before and after enrichment.
Familiar patterns for tracking and spending credits
By reusing existing HubSpot components, users could follow what was enriched and how many credits it used in a way they already understood. This came together with the new pricing model without needing new mental models.
Final screen
The screen for enrichment settings or credit usage.
One language across Breeze
Shared terminology and patterns kept enrichment consistent with Buyer Intent and other Breeze Intelligence features.
Patterns
Terminology map or components shared across Breeze features.
Impact and results
Launch at INBOUND ’24, one of HubSpot’s top priorities that year
On time
Partner organizations aligned, plus the Clearbit team
4
[Add: adoption after launch, e.g. portals enriching, over what period]
[N]
Enrichment launched on schedule in the CRM at INBOUND ’24, as one of HubSpot’s top-priority launches that year. Beta users confirmed the consistent patterns, and Fintech, Growth, CRM and Marketing Hub were aligned with the Clearbit team on one experience. [Add: the main adoption metric after launch, its time period, and its source, e.g. the Breeze Intelligence dashboard.]
Qualitative impact: My manager called my contribution to the Breeze Intelligence vision “invaluable” and credited me with helping the Clearbit team deliver within HubSpot.
“[Add: a quote from a beta customer or from the Clearbit team]”
Reflection and what’s next
What I’d do differently: I’d hand off work earlier. I was also the designer for Data Quality, and taking on too much made it hard to focus. Recruiting someone to take over Data Quality ended up being one of my most valuable contributions.
What I learned: When you integrate an acquired product, a shared vocabulary does more for alignment than polished screens. The terminology doc settled disagreements before they became design debates.
What happened next: I handed Breeze Intelligence off to the next designer and became UX DRI for Data Studio. Enrichment and credit patterns from this project carried over into Data Studio’s Smart Columns and the later credit transparency work.