| Week | Milestone | |------|-----------| | 1‑2 | Core data model – User, MoodEntry, JournalEntry, MicroHabit, Resource. | | 3‑4 | Mood‑Map UI (calendar heat‑map) + daily check‑in flow. | | 5‑6 | Guided Journal (AI‑prompt backend using OpenAI API) + storage. | | 7‑8 | Micro‑Habits library + simple scheduler + push notifications. | | 9 | Community Pulse (anonymous posting, reaction system, moderation). | | 10 | Crisis Button overlay with static resources. | | 11 | Resource Hub with tagging and basic recommendation engine. | | 12 | Beta testing & analytics dashboard (track DAU, mood‑entry frequency, habit completion). |

Post‑MVP (Weeks 13‑24): Add Progress Journey, Quick‑Pulse widget, wearable sync, and subscription layer.

Plans are underway to launch a multi‑year longitudinal study, tracking participants’ emotional trajectories to evaluate whether sustained engagement translates into measurable life outcomes (e.g., job satisfaction, relationship stability).

If you decide to subscribe to ifeelmyselfcom, here is what you can expect from the user interface and content library:

Universities such as Stanford’s Center for Compassion and Altruism Research have partnered with ifeelmyself.com to validate its analytics engine. Early findings suggest the platform’s predictive alerts (e.g., “Potential burnout risk”) align with physiological stress markers (cortisol levels) in 73 % of cases.

A searchable lexicon of over 2,000 emotion words, each accompanied by definitions, cultural contexts, and example sentences. The tool includes quizzes that encourage users to match nuanced feelings (e.g., wistful vs. nostalgic) to real‑life scenarios.

All content is compatible with screen readers, offers high‑contrast modes, and includes subtitles or transcripts for audio/video materials. A “Feeling Mode” reduces motion and visual stimulation for users experiencing heightened anxiety.

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Ifeelmyselfcom May 2026

| Week | Milestone | |------|-----------| | 1‑2 | Core data model – User, MoodEntry, JournalEntry, MicroHabit, Resource. | | 3‑4 | Mood‑Map UI (calendar heat‑map) + daily check‑in flow. | | 5‑6 | Guided Journal (AI‑prompt backend using OpenAI API) + storage. | | 7‑8 | Micro‑Habits library + simple scheduler + push notifications. | | 9 | Community Pulse (anonymous posting, reaction system, moderation). | | 10 | Crisis Button overlay with static resources. | | 11 | Resource Hub with tagging and basic recommendation engine. | | 12 | Beta testing & analytics dashboard (track DAU, mood‑entry frequency, habit completion). |

Post‑MVP (Weeks 13‑24): Add Progress Journey, Quick‑Pulse widget, wearable sync, and subscription layer.

Plans are underway to launch a multi‑year longitudinal study, tracking participants’ emotional trajectories to evaluate whether sustained engagement translates into measurable life outcomes (e.g., job satisfaction, relationship stability).

If you decide to subscribe to ifeelmyselfcom, here is what you can expect from the user interface and content library:

Universities such as Stanford’s Center for Compassion and Altruism Research have partnered with ifeelmyself.com to validate its analytics engine. Early findings suggest the platform’s predictive alerts (e.g., “Potential burnout risk”) align with physiological stress markers (cortisol levels) in 73 % of cases.

A searchable lexicon of over 2,000 emotion words, each accompanied by definitions, cultural contexts, and example sentences. The tool includes quizzes that encourage users to match nuanced feelings (e.g., wistful vs. nostalgic) to real‑life scenarios.

All content is compatible with screen readers, offers high‑contrast modes, and includes subtitles or transcripts for audio/video materials. A “Feeling Mode” reduces motion and visual stimulation for users experiencing heightened anxiety.