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travelledger/docs/workshop/personas.md

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Personas — travelledger

Divergent set from the workshop Marketing/Growth lead. Six personas, including two non-obvious ones (travel agent, expat). Feature priorities and price willingness are assumptions to validate with problem interviews.

1. Backpacker Ben

  • Context: 24, gap-year traveler, budget-conscious.
  • Travel: 3–4 trips/yr, 2–6 weeks each; hostels, budget airlines, SEA/Europe.
  • Jobs-to-be-done: track daily spend vs. budget, split costs with buddies, remember good hostels, prove spend to parents.
  • Pains: loses receipts, forgets exchange rates, awkward money talks, can't see "how much left."
  • Gains: feels in control, settles debts fast, builds a story for Instagram/blog.
  • Cares most about: expenses (critical), AI blog summaries (high), QR (moderate).
  • Willingness to pay: ~$3–5/mo if it prevents budget disasters.

2. Corporate Carla

  • Context: 38, management consultant, expense-report warrior.
  • Travel: 2–3 trips/month, 2–4 days; hotels on company account, client dinners.
  • Jobs-to-be-done: capture receipts instantly, categorize for reimbursement, track cancellation deadlines, separate personal vs. business.
  • Pains: receipt photos degrade, Sunday-night reports take hours, misses reimbursement windows, mixes personal charges.
  • Gains: faster reimbursement, audit trail, tax-deductible tracking.
  • Cares most about: expenses w/ categories (critical), QR (boarding/hotel), AI report drafting (high).
  • Willingness to pay: company may reimburse premium ($10–15/mo); sticky if workflow-integrated.

3. Family Festival Fred

  • Context: 45, dad of 3, annual big-trip organizer.
  • Travel: 1–2 major trips/yr (Disney, Europe, cruise) + weekend getaways; books 6–12 mo ahead.
  • Jobs-to-be-done: keep everyone on one itinerary, track who-paid-what, manage cancellation deadlines, store all confirmations.
  • Pains: WhatsApp chaos, lost email confirmations, awkward family money talks, misses cancellation windows.
  • Gains: looks like a hero, no drama, captures memories for kids.
  • Cares most about: shared itinerary (critical), expense splitting (high), QR for whole family (high).
  • Willingness to pay: ~$8–12/mo in 3-month bursts; seasonal churn risk.

4. Digital Nomad Dana

  • Context: 29, remote developer, location-independent.
  • Travel: moves every 1–3 months, 8–10 countries/yr; workations.
  • Jobs-to-be-done: track days-per-country (visa/tax), separate business vs. personal, multi-currency, build "life story."
  • Pains: loses visa-day count, tax-time nightmare, subscriptions in 12 currencies, no coherent narrative.
  • Gains: tax compliance, visa tracking, personal analytics ("4 months in Lisbon").
  • Cares most about: multi-currency expenses (critical), AI tax categorization (high), booking next location (moderate).
  • Willingness to pay: ~$15–20/mo if it solves tax/visa pain; sticky as data accumulates.

5. Travel Agent Tina (non-obvious)

  • Context: 52, independent agent, manages 30–40 clients.
  • Travel: doesn't travel much herself; manages client itineraries via GDS + email + WhatsApp.
  • Jobs-to-be-done: keep client itineraries organized, monitor cancellation deadlines across suppliers, share updates.
  • Pains: info scattered across email/WhatsApp/CRM, misses supplier deadline changes, clients lose confirmations.
  • Gains: looks professional, fewer emergencies, can sell "trip management" as premium service.
  • Cares most about: QR per client (critical), cancellation tracking (critical), shared itineraries (high).
  • Willingness to pay: B2B $30–50/mo per agent; small market, high LTV + referrals.

6. Expat Elena (non-obvious)

  • Context: 34, relocated for partner's job, visits home 2–3x/yr.
  • Travel: 4–6 trips/yr (home visits + regional); two households.
  • Jobs-to-be-done: track trips home for tax residency, dual-household budgets, store family memories.
  • Pains: loses count of home-country days (tax), family expects her to remember everything, receipts in 3 currencies.
  • Gains: tax documentation, family harmony, archive of "life between two places."
  • Cares most about: tax-category expenses (high), itinerary history (high), QR (moderate).
  • Willingness to pay: ~$5–8/mo; discovered via expat communities.

Segment risks

  • Tina (agents): small reachable market, but high LTV + referral engine → niche B2B wedge.
  • Fred (families): high willingness only in bursts → seasonal churn; trip-pass pricing helps.
  • Elena (expat): passionate but niche; growth depends on community reach.
  • Ben (backpackers): price-sensitive, may resist paying for "a diary" → freemium + proven value first.