Activity Bands, Standardized Across the Product

Not all member activity is created equal. A member who logs in during their first three days is doing something very different from one who's still engaged after two years, and treating those two data points the same flattens the story your data is trying to tell. Activity bands give that data its shape back.

What's Changing

1. A Unified Band Framework

Five bands now define how member activity is categorized across the admin site, applying consistently to Added Activity, Login Activity, and Registered Activity everywhere they appear.

• First Week (1–7 days) — Onboarding noise. High variance; don't draw conclusions yet.

• Onboarding (8–30 days) — Early-use patterns setting in. The classic "first month" retention window.

• Habit-Forming (31–90 days) — The window that decides everything. Behaviors either consolidate into habits here or they don't; Avidon's CBT methodology and the habit-formation research both point to this same arc.

• Established (91–365 days) — The pattern is set. Members are either integrated or they've found their floor.

• Long-Tenured (365+ days) — The question shifts: it's no longer "did the product work?" — it's "is it still working?"

2. Consistent Application in Member Search

These bands now surface in Member Search, so admins can filter and segment by where members are in their lifecycle — not just by raw tenure numbers.

3. Powering the Tracker Dashboard: Engagement Correlation Tab

The new Tracker Dashboard's Engagement Correlation tab uses these bands as a structural axis, letting you see how engagement metrics shift across the member lifecycle. First Week spikes look very different from Established-member plateaus; the correlation chart makes that visible.

Why It Matters

• Smarter segmentation — Filtering by lifecycle band is more actionable than filtering by days-since-registration; it tells you what kind of support a member probably needs right now.

• Apples-to-apples reporting — When the same bands apply everywhere, your Member Search filters and your Tracker Dashboard speak the same language.

• Methodology-aligned analytics — The Habit-Forming band maps directly to Avidon's CBT timelines; when you're looking at engagement in that window, you're looking at the data that matters most for behavior change outcomes.

• Differentiated long-tenure insight — Long-Tenured members get their own lens because the question being asked of their data is genuinely different.

Standardizing activity bands is a small architectural change that pays outsized dividends in every report, filter, and conversation that touches member engagement data.