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Every case study here answers one question: measurable outcome.

ip-intelligence-customer-req.mdIPinfo · Nov 2025–June 2026

IP Intelligence Data: Customer-Requested Initiative

AlphaTeam: Data + Infra + Web6 months
TL;DR

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.

Outcome

  • ↑Closed deals, with the alpha data available as proof of momentum
  • ↑Alpha tester enrollment, after the landing page and recruitment iteration
  • ↑Organic discovery: widget to landing page to scheduler, no outreach needed
Saw It
  • Customers had been asking for this feature for a while, and every competitor already had it.
  • The data was fully validated, but the open question was whether the format was ready for real customers.
↓
Figured It Out
  • Analyzed customer calls directly to confirm the need was real, not assumed, and ran competitor landscape analysis.
  • Decided to ship fast as an alpha rather than wait to perfect it, accepting the risk to avoid losing more competitive ground.
↓
Did It
  • Owned the landing page concept, partnering with web engineering on the build.
  • Led alpha recruitment strategy, iterating based on direct customer feedback after early recruitment stalled at 2 testers.

My Role

  • Owned the landing page concept, partnering with web engineering on the build.
  • Led alpha recruitment strategy, iterating based on direct customer complaints and feedback.
  • Analyzed call data with customers to validate whether the need was real.
  • Ran competitor landscape analysis to confirm what competitors already had in this space.

Engineering Collaboration

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

Problem & Risk

Value RiskFeasibility RiskBusiness Viability Risk
  • Customers had been asking for this feature for a while, and every competitor already had it.
  • The underlying data was fully validated, but the open question was whether the format was ready for real customers, even though it wasn't yet production-ready.
  • Shipping something imperfect fast, versus waiting to perfect it and risking more competitive ground.

Customer Discovery & Validation

Evidence
  • Validated the data was good, though not yet recommended for production use.
  • All customer validation during this period happened at the alpha stage.
  • Analyzed customer calls directly to confirm whether the need was real, not assumed.
  • Ran competitor landscape analysis to confirm what competitors already offered in this space.

Context

  • Started in November, following directly on from the Internal Initiative work.
  • Launched quickly as an alpha, but engineering hit a blocker early: without real customer usage, there wasn't enough signal on what the product actually needed to provision correctly.
  • Customer testing became a prerequisite for engineering to move forward, not just a validation step.

Timeline

git log --oneline⏱ ~6 months to private beta
alpha launch: shipped fast, engineering blocked on missing provisioning signalNovember
recruit: struggled to find willing testers, landed at 2Nov–Dec
stalled: still 2 testers, blocking the feedback engineering neededDec–Feb
landing page: built a dedicated page plus site-wide call-outsMarch
ramp: tester recruitment and feedback capture accelerateApril–June
~ rough sketch, not an actual screenshot ~
IP address~N devices
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~ rough sketch, not an actual screenshot, lifecycle stage ~

data

raw signal collected

alpha

customer testing, now

prepare for beta

final payload next

Who Benefits

  • Sales closed deals faster, using the alpha as tangible proof the product was coming.
  • Customers got early access to the data they'd been asking for, well before a full release.

Next Steps

  • Create the final data payload based on remaining alpha tester feedback.
  • Move from alpha into private beta.