CareerForge
The Dashboard

The KPIs

Four headline numbers, and the honesty rule that sometimes shows you a dash instead.

The top of the dashboard is four cards. Here they are, live — scroll them into view and watch them count, and try the 7d/30d toggle on the second card:

Total applications

26

Applied · 30d

13

Avg fit · 30d

67

Interview rate · 90d

19%

Live demo with fictional data — try the 7d/30d toggle.

What each card means

Total applications

Every row in your tracker, all time. The simplest number and the one that quietly matters most on the days the search feels endless: it only goes up.

Applied · 7d / 30d

How many applications you dated within the last 7 or 30 calendar days — the toggle switches the window. This is your activity meter. A strong pipeline usually starts with a steady number here, whatever "steady" means for your situation.

Avg fit · 30d

The average fit score (0–100) of the applications from the last 30 days. Read it together with the activity card: high activity with a low average fit can mean you're spraying; low activity with a high average can mean you're being appropriately picky — or too picky. Neither is wrong; the number just makes the trade-off visible.

Interview rate · 90d

Of your active applications in the last 90 days, the share that reached an interview. This is your conversion meter — the closest thing a job search has to honest feedback on whether the materials are landing. "Active" counts applications you actually sent (in any state from Sent onward); ones still sitting in Draft don't count against you.

The honesty rule — why you'll sometimes see "—"

A dashboard that averages two data points is lying to you politely. So the two rate-style cards have a floor: fewer than 3 qualifying applications in the window, and the card shows "—" instead of a number.

  • Avg fit · 30d needs at least 3 applications dated in the last 30 days.
  • Interview rate · 90d needs at least 3 active applications in the last 90 days.

The dash isn't a bug — it's the dashboard refusing to dress up noise as insight. Apply a few more times and the number appears. The same principle runs through the whole product: where the data is missing, you see "no data," never an invented value.

Next: the charts — the same honesty, in pictures.

On this page