Hytta.cz

Guests booking Hytta.cz cabins for deep work retreats receive a generic setup, forcing them to improvise itineraries, packing, and cabin configurations on arrival, which disrupts focus and reduces satisfaction. User feedback from 150 post-stay surveys indicates 62% spend the first day organizing rather than working, and NPS drops to 6.8 for "preparation ease" versus 9.2 overall. Without personalization, we're missing upsell opportunities like premium Starlink add-ons, contributing to 18% churn after one stay.

Alex Rivera, Solo Remote Writer: A 35-year-old freelance author working on a novel; key pain is inconsistent daily routines in unfamiliar environments, leading to procrastination; motivated by structured prompts to hit 2,000 words/day without distractions.
Jordan Lee, Startup Founder: A 42-year-old tech entrepreneur planning quarterly strategies; key pain is suboptimal workspace setups causing ergonomic issues and scattered focus; motivated by automated guides to simulate their home office for 8-hour deep dives.
Sam Patel, Creative Consultant: A 29-year-old designer brainstorming campaigns; key pain is lack of recovery rhythms like timed saunas, resulting in burnout after 4 hours; motivated by balanced schedules to sustain creative flow across a week-long retreat.

As Alex Rivera, I want to answer three goal-focused questions during booking so that I get a personalized daily itinerary tailored to writing sprints.
As Jordan Lee, I want an auto-generated packing list and workspace setup guide so that I arrive with everything needed for ergonomic, distraction-free work.
As Sam Patel, I want smart-home presets and a sauna/cold-plunge schedule integrated with my goals so that the cabin environment supports my creative recovery cycles.
As a returning guest, I want the customizer to sync with my Booking.com calendar and Starlink status so that my itinerary avoids conflicts and ensures reliable connectivity.
As any user, I want a distraction-free packing checklist exportable to PDF so that I can prepare offline without app dependency.

User Story 1:

• Given a user completes booking and answers three questions (e.g., "Primary goal: writing"), when they view the customizer, then a daily itinerary PDF generates in <10 seconds with 7-day schedule including 4-hour focus blocks and meal breaks.
• The itinerary must reference user goals explicitly (e.g., "Morning sprint for novel outlining") and be editable once before finalization.
• No generation if <3 questions answered; error message: "Please answer all questions for personalization."

User Story 2:

• Given goal inputs like "strategy planning," when generating outputs, then the packing list includes 8-10 items (e.g., noise-cancelling headphones, external monitor) and workspace guide specifies cabin furniture rearrangements with diagrams.
• Outputs downloadable as checklist; tested on mobile and desktop with zero truncation.
• List prioritizes essentials based on goals; e.g., no art supplies for non-creative goals.

User Story 3:

• Given "creative thinking" goal, when presets apply, then smart-home schedule sets lights to warm after 8pm and integrates sauna slots (e.g., 20-min post-lunch) with cold-plunge recovery.
• Presets activate on cabin check-in via API; user confirms via email 24 hours prior.
• If sauna unavailable, alternative (e.g., walk) auto-suggests with rationale.

User Story 4:

• Given Booking.com integration, when user links calendar, then itinerary flags conflicts (e.g., "Avoid 2pm call during focus block") and checks Starlink uptime (>95% required for "high-connectivity" goals).
• Sync fails gracefully with offline mode; retry button present.
• Starlink status pulls real-time; if down >2 hours projected, notify user pre-booking.

User Story 5:

• Given full customization, when exporting, then PDF generates without watermarks, includes all sections, and is <2MB for easy sharing.
• Export button visible post-generation; supports print view.
• No personal data in PDF beyond itinerary (GDPR compliant).

• Personalization adoption rate: ≥75% of eligible bookers complete the three questions during checkout (baseline: 0%).
• User satisfaction: Post-stay NPS for "customization usefulness" ≥8.5 (target from 6.8 baseline).
• Repeat booking uplift: ≥20% increase in D30 rebookings for customizer users vs. non-users.
• Time to first value (TTFV): ≤30 seconds from question answers to itinerary preview (measured via analytics).
• Error rate: <1% failed generations due to API issues (tracked in Sentry).

• Performance: Generation API responds in ≤5 seconds for 95% of requests; page load <2 seconds on 3G networks.
• Accessibility: WCAG 2.1 AA compliant; questions readable via screen readers, high-contrast itineraries, alt text on diagrams.
• Security: User data encrypted in transit (HTTPS/TLS 1.3); no storage of goals beyond session unless opted-in; OAuth for Booking.com integration.
• Scalability: Handle 1,000 concurrent generations during peak booking (e.g., weekends); auto-scale via AWS Lambda.
• SLAs: 99.5% uptime for customizer; 24-hour response for integration failures via PagerDuty.

• User answers vague goals (e.g., "relax"): System defaults to generic itinerary with prompt to refine; no crash, but flag in logs for UX review.
• Booking.com sync fails (e.g., revoked permissions): Fallback to manual input; user sees "Sync unavailable—enter dates manually" banner, with retry after 5 minutes.
• Starlink outage during stay: Pre-generate alerts if status <90% for >24 hours; in-app notification on arrival pushes offline alternatives (e.g., cached itinerary).
• Network edge: Offline question completion via PWA caching; generation queues on reconnect, with progress bar.
• Failure mode: AI generation timeout (>30s)—display static template and log for debugging; no data loss, user can retry without re-answering.

• How to handle multi-guest bookings (e.g., couples with differing goals)? Merge or separate itineraries? ⚠ Critical—decide before dev sprint to avoid rework.
• Pricing: Free for all, or $10 upsell for premium (e.g., voice-guided setup)? Need A/B test plan.
• AI model: Use GPT-4 or fine-tuned Llama? Cost vs. accuracy trade-off; benchmark required.
• International goals: Support non-English (e.g., Czech users)? Localization scope?
• Post-stay feedback loop: Auto-survey on itinerary adherence? Low urgency, but ties to metrics.

• Engineering: Frontend React team for question UI and PDF export; backend Node.js for AI generation via OpenAI API.
• Third-party: Booking.com API (OAuth integration for calendar read); Starlink API (status polling every 6 hours).
• Infrastructure: Feature flag via LaunchDarkly for staged rollout (10% users first); AWS S3 for PDF storage.
• Other teams: Design for itinerary templates; Legal for GDPR review on data handling.
• Products: Core Hytta.cz booking flow; must hook into post-checkout funnel without blocking.