IP Intelligence Data: Customer-Requested Initiative

Launched an alpha version of a feature customers had been requesting for a while, one every competitor already offered, to test real demand and data readiness before committing to a full build.

↑
closed deals, with the alpha data available as proof of momentum
↑
alpha tester enrollment, after the landing page and recruitment iteration
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organic discovery: widget to landing page to scheduler, no outreach needed

About 6 months to private beta

November
Alpha launch: shipped fast, engineering blocked on missing provisioning signal
Nov–Dec
Recruit: struggled to find willing testers, landed at 2
Dec–Feb
Stalled: still 2 testers, blocking the feedback engineering needed
March
Landing page: a dedicated page plus site-wide call-outs
April–June
Ramp: tester recruitment and feedback capture accelerate

Lifecycle stage

Data
raw signal collected

Alpha
customer testing, now

Prepare for beta
final payload next

Three risks, and what happened

Risk	How it was handled	Result
Value. Customers had been asking for this feature for a while, and every competitor already had it.	Analyzed customer calls directly to confirm the need was real, not assumed, and ran competitor landscape analysis.	Sales closed deals faster, using the alpha as tangible proof the product was coming.
Feasibility. The data was fully validated, but was the format ready for real customers?	Customer testing became a prerequisite for engineering to move forward, not just a validation step.	Next: the final data payload, based on remaining alpha tester feedback.
Business viability. Shipping something imperfect fast, versus waiting to perfect it and risking more competitive ground.	Shipped fast as an alpha. When recruitment stalled at 2 testers, built a dedicated landing page plus site-wide call-outs.	Tester recruitment and feedback capture accelerated from April to June.

My role. Owned the landing page concept. Led alpha recruitment strategy, iterating based on direct customer complaints and feedback. Analyzed call data with customers to validate whether the need was real.

With engineering. Partnered with web engineering to ship the landing page. Engineering built the first working prototype of the data product.

Product leader with a data scientist past · Zapier, Clearbit, HubSpot

Product doc: ale-cabrera.com/portfolio/ip-intelligence-customer-req