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Selected Case StudyProfessional experienceOperationalMar 2025 — Sep 2025 active phase

Sepas — From Prolonged Pre-launch to Public Release

Product and go-to-market case study for moving a technically developed relationship-wellness product into public launch, behavioral analytics, monetization, and early market validation.

ProductData
Evidence Snapshot
1,450 unique registered · 25,800 assessment responses · 58 unique paying users

Context

Mar 2025 — Sep 2025 active phase · Public launch → early validation → maintenance/frozen development phase · Maturity: Operational.

Problem

The product had been developed for a long period but remained unreleased because launch scope, readiness, market confidence, analytics, and monetization were not clear.

Users

Persian-speaking couples using assessments, partner connection, engagement features, and premium relationship-wellness experiences.

My Role

Organizational/public title: Technical Product Manager. Primary functional role: Product & Go-to-Market Consultant.

Responsibilities

  • Defined launch readiness, MVP scope, phased roadmap, PRDs, user stories, acceptance criteria, product testing, and a two-week delivery cadence.
  • Defined persona, target market, positioning, freemium/subscription model, pricing, event taxonomy, funnel measurement, and acquisition experiments.
  • Coordinated engineering, therapists, content, founders, and growth work through public release and early validation.

Constraints

  • Long pre-launch development and perfectionism had delayed market learning.
  • Active development froze from mid-Shahrivar 1404 because of financial constraints after launch.
  • Team outcomes must remain team outcomes under product coordination.

Product Decisions

  • Define a launchable scope and move to market learning instead of waiting for a perfect product.
  • Instrument onboarding, assessments, partner invitation, engagement, and subscription behavior.
  • Use channel-quality evidence rather than optimize only for reach.
  • Keep unique paying users distinct from total premium beneficiaries in a couple-level access model.

Delivery & Technical Approach

  • Supported separation of test and production data, security-password changes, backup automation, and CI/CD improvements that reduced deployment time from hours to minutes at team level.
  • Introduced Metrix SDK/event tracking, support tooling, notification scenarios, beta/production separation, and release/QA practices.

Product flow

  1. Launch readiness
  2. MVP / roadmap / delivery process
  3. Public release
  4. Behavioral instrumentation
  5. Acquisition experiments
  6. Subscription / premium access
  7. Early market validation
Jira product operationsMetrix analyticsFunnel / event taxonomyMyket / Cafe Bazaar / PWASubscription & pricingQA / release

Evidence / Outcome

  • Later internal dashboard: 1,450 unique registered users and 25,800 assessment responses.
  • 758 couple contests were recorded; 344 completed, a 45.4% completion rate.
  • 58 unique paying users were recorded; one successful purchase could activate premium for both connected partners.
  • A recorded acquisition comparison showed 31.67% click-to-install for the targeted Kaf channel versus 2.86% for Tapsell in that specific campaign context.

What I Learned

  • Launch can be a product decision when more pre-launch polish is blocking evidence.
  • Channel quality can matter more than top-of-funnel volume.
  • Payment and entitlement metrics need precise definitions in multi-user access models.

Evidence Boundary

What this does — and does not — prove

The 58 figure is unique paying users, not total premium beneficiaries. Forecasts and business-plan targets are not achievements. The channel comparison is context-specific. Active development later froze because of financial constraints; this is not rewritten as “launch failure.”

Next Iteration

Prioritize retention and premium-value validation by cohort, partner-connected behavior, and subscription outcomes before broadening acquisition spend.