Gabbi’s Product Evolution

At Gabbi, we’re on a mission to find product market fit, to bring breast cancer prevention and early detection tools to all women.

The beginning: Employers

Hypothesis: Employers will pay for their employees to access Gabbi as a benefit.

Outcome: Oversaturated market for employer benefits, point solution fatigue.

Actions involved:

  • Initial build of our risk assessment and email flows for login.

  • Marketing roll out with companies (emails, slack flows, one pagers).

  • User research through interviews.

Providing care pilot

Hypothesis: If we can offer a deeper user interaction than a purely digital risk result score, we could get more engagement from users.

Outcome: Maine is too small of a market, very skeptical of tele-health care. Will continue with providing care but work to expand states.

Actions involved:

  • Building out the user flow for both tele-health appointments scheduling and care conceirge chat functionality.

  • Tele-health elements like google calendar syncing, charting and back end functionality for HIPAA compliant data storage.

  • Marketing within Maine (meta ads, organic outreach and telethons).

  • User research through interviews.

Going direct to consumer

Hypothesis: Our first test to see if we could have a viable business going directly to consumers. We tested a free product offering to see if there was an appetite when not provided through their employer.

Outcome: Huge success with great conversion for free trial. Moving forward with testing willingness to pay with d2c audience.

Actions involved:

  • Building out the user flow for both tele-health appointments scheduling and care concierge chat functionality.

  • Empathy mapping, user journey mapping and other strategy for building the flow.

  • National marketing campaigns (meta ads and boosted organic posts on LI, IG).

  • User research through interviews and surveys.

Willingness to pay

Hypothesis: We can leverage the success we had from the free trial and find a price that users are willing to pay.

Outcome: Really high drop off and high cost per conversion, compared to the free trial. Business goals changed due to fundraising.

Actions involved:

  • Web design. Creating 3 “painted door” landing pages that were each a different price point.

  • UX design of communicating pricing clearly.

  • User research through interviews.

Freemium risk assessment

Hypothesis: If users are told their risk result, and are at a high risk, they will be more willing to pay for care (tele-health).

Outcome: Conversion rates improved however the CPC was too high for our financial situation. Fundraising goals were still impacted our product builds.

Actions involved:

  • Web design.

  • Empathy mapping, user journey mapping, and A/B testing.

  • Building a new user flow for payment later in the flow.

  • Painted door tests of insurance coverage.

  • User research through interviews.

Tuning the funnel

Hypothesis: Creating improvements to incrementally improving costs and CVR for both flows, pointing to tele-health to reach our revenue goals for series A funding.

Outcome: Improvement upon the CVR and cost. Still working towards these goals to find product market fit and reach our revenue goals for fundraising.

Actions involved:

  • Diversification of marketing channels.

  • Web design with large focus on content hierarchy and messaging.

  • Product strategy and conversion rate optimization.

  • User research through interviews and surveys.

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