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MenoLog — the spec

A client portal for people navigating menopause who want to move from guessing to knowing. Users log symptoms daily, track medications and supplements, and surface patterns that translate into concrete intervention options — including reports they can hand directly to a doctor. Built for everyday consumers who need clarity, not clinical jargon.

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Decisions locked

QuestionAnswer
ShapeClient portal
AudienceConsumers managing menopause symptoms
Core loopLog symptoms daily → track severity over time → match to interventions → share with doctor
Must-have count5 features
Success metric5 paying customers within 30 days of launch

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The core loop

  1. User creates an account and completes a short intake (current symptoms, medications, lifestyle baseline).
  2. Each day, user opens the dashboard and logs active symptoms using severity sliders (1–10 per symptom).
  3. The system accumulates entries and surfaces emerging patterns — which symptoms are worsening, which are stable.
  4. The intervention recommendation engine matches symptom-severity combinations to relevant lifestyle interventions and flags medication or supplement considerations.
  5. User reviews or updates their medication and supplement tracker to reflect any changes.
  6. When ready for a clinic visit, user generates a PDF report covering a chosen date range and brings it to their appointment.

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v1 scope

Daily Symptom Logging with Severity Slider
A single focused entry screen presents a standard menopause symptom checklist (hot flashes, sleep disruption, mood shifts, brain fog, joint pain, and others). Each active symptom gets a 1–10 severity slider. Lives on the Dashboard / Daily Log screen.

Medication and Supplement Tracker
Users record current medications and supplements — name, dose, frequency, start date. Entries persist across sessions and display on the Dashboard so logging and tracking live side by side. Lives on the Dashboard and a dedicated Tracker tab.

Intervention Recommendation Matching Engine
After a log entry is saved, the engine compares the user's symptom profile and severity scores against a curated intervention library and surfaces ranked, relevant suggestions (lifestyle changes, supplement categories, conversation topics for a doctor). Lives on the Recommendations screen, accessible from the Dashboard.

Lifestyle Intervention Library (Searchable)
A structured, searchable content library of evidence-informed lifestyle interventions organized by symptom category — exercise, nutrition, sleep hygiene, stress management, and more. Users can browse independently or arrive here from a recommendation. Lives on the Library screen.

Doctor-Shareable PDF Symptom Reports
Users select a date range and generate a formatted PDF summarizing logged symptoms, severity trends, and current medications/supplements. The PDF is designed to be legible and useful in a clinical setting without requiring the doctor to access the portal. Lives on the Reports screen, with file download and optional upload to the user's own records.

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Deliberately later

  • Visual pattern charts by symptom type — meaningful charts require several weeks of data; building this in v2 means real user data shapes which visualizations matter most.
  • Appointment prep checklist generator — valuable, but depends on report generation being proven first; layer it once PDF usage patterns are understood.
  • Private symptom history archive — users need to accumulate history before archiving becomes relevant; v2 timing aligns with retention, not acquisition.

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Data model sketch

  • users — id, email, password hash, created_at, intake_completed
  • intake_profiles — user_id, symptom_baseline, lifestyle_baseline, created_at
  • symptom_logs — id, user_id, logged_date, symptom_name, severity (1–10), notes
  • tracker_entries — id, user_id, entry_type (medication | supplement), name, dose, frequency, start_date, active
  • interventions — id, title, symptom_tags, category, content_body, source_notes
  • recommendations — id, user_id, generated_at, symptom_snapshot, intervention_ids[]
  • reports — id, user_id, date_range_start, date_range_end, generated_at, file_url
  • file_uploads — id, user_id, related_entity, file_url, uploaded_at

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Screens

  • Dashboard / Daily Log — central hub where users log today's symptoms and view their medication/supplement tracker at a glance.
  • Recommendations — displays intervention matches based on the latest log entry, with links into the Library.
  • Library — searchable, browsable intervention content organized by symptom category.
  • Tracker Tab — full management view for medications and supplements: add, edit, deactivate entries.
  • Reports — date-range selector, PDF generation, download, and upload management.
  • Account / Intake — onboarding intake form and ongoing profile settings.

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How to use this document

  • Bring it into Mind Palace, where the guided platform and its AI coach pick up from exactly this document and build with you step by step.
  • Hand it to a developer as the complete v1 brief — scope, data model, and screens are defined; no interpretation required.
  • Keep it as the single source of truth while you build, so every feature decision traces back to one document.

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