Title: Building an MVP, with Mindset Health’s Alex Naoumidis

Session context

  • Format: Talk + Q&A + live founder questions
  • Host: Louisa (Startmate)
  • Speaker: Alex Naoumidis (Co-founder & CEO, Mindset Health)
  • https://www.linkedin.com/in/alexnaoumidis/
  • Audience: Launch Club founders (validation → MVP → early revenue)
  • Objective: Adopt an MVP mindset; learn how to ship fast, charge early, and iterate with users

About the speaker (Alex Naoumidis)

  • Role: Co-founder & CEO, Mindset Health (digital therapeutics; e.g., Nerva for IBS)
  • Background: Accounting/finance student → self-taught developer with his brother → YC alum → scaled to 40+ team,$30M raised
  • Focus: Foundation model for psychophysiology; AI-powered therapeutics
  • Hard-won lessons: Shipped complex product too slowly at first; pivoted to “good but small,” tight build–talk–iterate loop

What is an MVP (and why it matters)

PrincipleWhy it matters
Good but smallValidates core value; eliminates bloat; avoids “barely functional” pitfalls
Ship fastIncreases iteration speed and “surface area for luck”
Talk to usersReality-checks assumptions; guides what to double down on or kill
Charge earlyFree users ≠ paying users; pricing tests validate real willingness to pay

Core concept: Narrow slice of quality (not a crappy prototype)

AttributeMinimum bar for MVPAnti-patterns
UX/UsabilityClear path to value; simple, intuitive flowConfusing IA, broken onboarding
ReliabilityStable, non-buggy core journeyCrashes, data loss, flaky steps
ScopeOne job-to-be-done; smallest path to outcomeFeature-stack, scope creep, “nice-to-haves”

What not to do vs what to do

Don’t doDo instead
Build in a vacuum for monthsLaunch in 1–2 weeks; iterate in public with users
Cargo-cult without understandingCopy best practices for non-core UX with explicit reasons
Delay chargingUse trials/pre-orders; price via market proxies and value framing
Over-index on brand fear earlyAssume few will notice; prioritize solving the user’s problem quickly

MVP testing before building

Funnel testTooling stackWhat you learn
Demand via pre-ordersAds → Unbounce → Typeform quiz → checkoutCAC-to-preorder, message–market fit, pricing sanity
Offer resonanceLanding variants, value props, proofsWhich promises/claims drive intent
Manual sales15-min consult callsLive objections, language, positioning to productize

Pricing and charging

TacticGuidance
Proxy pricingAnchor to familiar comparables (e.g., Noom, category norms)
Value-based framingPrice to outcome/value, not cost-plus
Early monetization7-day trial with card-on-file is effective; avoid “too cheap” distortion

Copying vs “cargo culting”

Copy this (non-core)Don’t copy blindly
Navigation, progress, layoutUnknown/low-impact patterns without a reason; understand “why” it works
Messaging patternsFeatures that are central to another app but not to your core

Do things that don’t scale

MotionPurpose
1:1 calls/DMsRapid learning; conversion practice
Community outreachFind users where they live (subreddits, FB, etc.)
Manual onboardingUnderstand activation steps to later automate

Platform choices (web vs mobile; iOS vs Android)

DecisionPractical guidance
Web vs MobileChoose the fastest medium that validates learning; web is often faster to ship
iOS firstTypically monetizes better and is simpler early
When Android mattersIf distribution (e.g., clinician referrals) demands device-agnostic delivery

Build loop to product–market fit

StepFocusOutput
DefineSharpest pain + smallest cohortOne job-to-be-done
Build“Good but small” MVPMinimal screens/steps to outcome
ChargePrice proxy + trialReal willingness-to-pay signal
LearnDaily user conversations + dataKeep/kill list; clarified next iteration
IterateWeekly releasesMomentum and compounding insight

Stages and typical goals

StageDescriptionCommon goals
1Validate idea15–20 interviews/week; map pains/jobs; 50–100 waitlist; pre-orders via funnel
2Build MVPShip in 1–2 weeks; usability tests; define activation/retention metrics
3Get usersDAU/WAU targets; activation ≥ threshold; qualitative “love” signals
4RevenueTurn on revenue; aim ~10% WoW (≈40% MoM) post–first dollar (venture path dependent)

Selected Q&A highlights

TopicTakeaway
Pricing unknownsUse market proxies + value framing; don’t underprice; pricing is a learning vehicle
Pivoting with paying usersShip better; refund if needed; brand damage fear is overrated early
Non-technical foundersYou become technical by building; AI-assisted dev compresses timelines to weeks
Freemium vs paywallBoth can work; avoid “free out of fear”; trials with card-on-file convert well
Domains for MVPShip on main domain; use dev/prod envs; few will notice early
iOS vs AndroidiOS often monetizes better; Android if strategic (e.g., clinician referrals)
Handling demand spikes“Champagne problem”; extend support hours, then add process/people
Credibility for cliniciansLadder: testimonials → modality evidence → partner’s research → your observational data → your RCT
B2C → B2B2C motionFollow organic signals (patients telling doctors); formalize provider channel
Fundraising signalsEarly VCs back team/resourcefulness; revenue is strong if applicable; show you can ship and learn fast

Benchmarks and pacing

MilestoneGuidepost
Post first revenue~10% WoW growth (≈40% MoM)
Year-1 venture pathRough trajectory toward ~$1M ARR in ~12 months (model/market dependent)

MVP action template (fill this in)

AreaBaseline (now)2-week MVP goalWeekly targetSuccess criteria
CustomerX interviews/demos per week≥ Y total interviews; Z live usability sessions≥ N interviews + M sales calls3–5 actionable insights/week; clear objections
ProductCurrent state (none/prototype/beta)Ship “good but small” MVP (screens A→B→value)1 build + 1 release + 1 test cycle/weekActivation ≥ B%; crash rate ~0; clear UX path
Revenue$MRR and # paying/presalesPre-orders or paid trial starts ($Z or P users)Daily outreach volume; trial activationsTrial→paid ≥ T%; CAC-to-preorder within bounds

Practical metrics you can choose

Metric classOptions
Activation% new users completing core action within 7 days
UsageDAU/WAU; session cadence; key feature adoption
RetentionDay-7 return %, Week-4 retention %, cohort curves
Love/value“Very disappointed if removed” %, qualitative proof quotes, repeat task completion
DemandPre-orders; # paid pilots; LOIs; MRR; # paying customers; CAC-to-preorder

Outreach and testing playbook

Channel/ActionTactic
CommunitiesJoin subreddits/FB groups; be helpful; invite to 15-min consults
Manual sales10–20 high-touch calls/week; script objections; update copy
Funnel tests2–3 landing variants; message, pricing, proof toggles
Evidence stackTestimonials; modality research; partner credibility; early observational data

Action items

StepAction
1Define the sharpest user pain and the smallest cohort
2Specify the “good but small” path to value (3–5 screens/steps max)
3Choose pricing proxy and trial approach; set a concrete price for learning
4Launch a demand funnel (ads → landing → Typeform → pre-order) and a 1:1 consult flow
5Commit to a 2-week ship date; run daily user conversations; iterate weekly