Hypothesis Tested: #1 (Problem Existence)

Method: Semi-structured interviews with target users

Setup:

1. Recruit 30 patients (50+) managing 3+ meds via Facebook groups, AARP forums, and local senior centers
2. Offer $50 gift card incentive
3. Schedule 45-minute video calls
4. Use interview guide focusing on current challenges and workarounds
5. Record and transcribe conversations

Metrics:

• % confirming medication adherence is top-3 daily challenge
• Frequency of specific pain points (cost, side effects, forgetfulness, etc.)
• Current solutions used and their limitations
• Quotes indicating emotional impact

Hypothesis Tested: #4 (Caregiver Engagement)

Method: Interviews with adult children managing medications for parents

Setup:

1. Recruit 20 caregivers via Facebook groups, Reddit (r/caregivers), and local support groups
2. Offer $75 gift card incentive
3. Focus on pain points in medication management
4. Explore current tools and workarounds

Metrics:

• % who currently track medications for parents
• Tools currently used and their limitations
• Biggest frustrations in the process
• Willingness to use a digital solution

Hypothesis Tested: #1 (Problem Existence) + #2 (Solution Interest)

Method: Landing page with waitlist signup

Setup:

1. Create 3 landing page variants (Carrd/Unbounce)
2. Headline variants:
   • A: "Never miss a medication again"
   • B: "Your personal medication coach"
   • C: "Stop guessing, start managing"
3. Add waitlist email capture form
4. Drive traffic via Facebook/Google ads targeting:
   • 50+ with chronic conditions
   • Adult children of aging parents
   • Caregivers

Metrics:

• Traffic volume (target: 2,000+ visitors)
• Conversion rate by variant
• Time on page
• Scroll depth
• Demographic breakdown of signups

Hypothesis Tested: #2 (Solution Fit) + #3 (Willingness to Pay)

Method: Manually deliver the service using AI + human judgment

Setup:

1. Recruit 50 users (25 patients, 25 caregivers) from landing page signups
2. Collect medication lists and basic health info via Google Form
3. Generate personalized adherence plans using:
   • AI for initial analysis (Claude/GPT)
   • Human review for clinical appropriateness
4. Deliver via email with follow-up survey
5. Offer premium features to subset of users

Metrics:

• Time to deliver (target: <24 hours)
• User satisfaction (1-10 rating)
• NPS score
• % finding the intervention "very helpful"
• % willing to pay after seeing output
• Actual payment conversion

Hypothesis Tested: #3 (Willingness to Pay)

Method: Van Westendorp Price Sensitivity Meter

Setup:

1. Create survey with 4 key questions:
   • At what price would you consider this too expensive?
   • At what price would you consider this a bargain?
   • At what price would you start to question the quality?
   • At what price would this be too expensive to consider?
2. Recruit 200 respondents via Facebook ads and patient forums
3. Offer $10 gift card incentive
4. Analyze results to find optimal price range

Metrics:

• Optimal price point range
• Price sensitivity by demographic segment
• Willingness to pay for specific features
• Comparison between patient and caregiver responses

Hypothesis Tested: #3 (Willingness to Pay)

Method: Collect actual payments before building

Setup:

1. Create pre-order page with:
   • Clear value proposition
   • Feature list
   • Guarantee (full refund if not satisfied)
2. Drive traffic from landing page and email list
3. Collect payments via Stripe
4. Follow up with survey about purchase decision

Metrics:

• Number of pre-orders
• Conversion rate from visitors to buyers
• Average order value
• Reasons for purchase (survey)
• Reasons for not purchasing (exit survey)

Hypothesis Tested: #2 (Solution Fit)

Method: Measure interest in specific features before building

Setup:

1. Create landing page with 5 "coming soon" features:
   • AI adherence coach
   • Pharmacy price comparison
   • Caregiver dashboard
   • Doctor visit talking points
   • Side effect management
2. Track clicks on each feature
3. Ask users to vote for most important feature
4. Offer early access to top feature

Metrics:

• Click-through rate for each feature
• Vote distribution
• Conversion to early access waitlist
• Demographic differences in feature preference

Hypothesis Tested: #1 (Problem Existence) + #4 (Caregiver Engagement)

Method: Test customer acquisition cost across channels

Setup:

1. Run identical ads on 5 channels:
   • Facebook (senior groups)
   • Google Search (medication management keywords)
   • Reddit (r/caregivers, r/diabetes, etc.)
   • Nextdoor (local senior communities)
   • Healthcare forums (PatientsLikeMe)
2. Track conversions to landing page
3. Calculate CAC for each channel

Metrics:

• Cost per click
• Conversion rate
• Cost per signup
• Demographic quality of each channel
• Retention by channel