Reading Activity Results

This article explains every metric shown on the Neurofit Activity Stats screen. Use it as a reference when interpreting results with clients, writing session notes, or explaining performance to clients and caregivers.

After a client completes any activity, the Activity Stats screen appears automatically. Clinicians can also review completed activity results from the client's profile in the Neurofit dashboard under the Reporting & Analytics section.

Accuracy — The percentage of correct target selections out of total attempts. High accuracy with slow time suggests the client is being deliberate and careful. Low accuracy with fast time suggests impulsivity or difficulty following the task rule. Track the accuracy/speed tradeoff across sessions as a functional indicator.

Time — Total seconds to complete the activity. This is a processing speed indicator. It naturally decreases as clients become more familiar with the task format, so large early drops often reflect learning rather than clinical improvement. True clinical gains show as sustained decreases after the initial learning curve flattens (typically sessions 3–5).

Experience — A star rating reflecting overall performance, combining accuracy and time. Use this as a quick scan metric for client-facing conversations and home program review. It is not precise enough for formal clinical documentation — use Accuracy and Time for that.

Clears — The number of full sequences completed within a single session. Relevant for activities where the client can repeat the sequence multiple times. Higher clears with consistent or improving accuracy reflects growing automaticity — a meaningful functional outcome.

Trail Making — The Assist Function metric tracks how many times the client used the in-activity hint. Document when in the sequence the hint was used (early = comprehension or encoding difficulty; late = attention fatigue) and track whether frequency decreases over sessions. Accuracy in Trail Making is particularly sensitive to set-shifting difficulty — errors on alternating transitions (e.g., missing the switch from a number to a letter) are more clinically meaningful than random errors.

Nature Path — The hint metric covers both the in-activity right-click hint (showing current position and next target) and the Hints button used at the midpoint turnaround. Track the two separately if possible: frequent right-click use suggests spatial orientation difficulty; frequent turnaround hints suggest working memory encoding failure for the sequence. Most importantly, track forward leg vs. return leg performance separately — they reflect different cognitive processes.

A single session result is rarely clinically meaningful on its own. Fatigue, time of day, medication timing, and environmental distractions can all affect a single performance. Reserve clinical interpretation for patterns across 4–6 sessions minimum.

Useful trend patterns to document: Accuracy improving while time holds steady (quality before speed, appropriate for clients earlier in recovery). Time decreasing while accuracy holds or improves (appropriate automaticity developing). Consistent performance across sessions without improvement (plateau — consider modifying the activity grade or switching activities). Significant drop from a previous baseline (investigate — could reflect illness, sleep, medication change, or a clinically relevant change in status).

When documenting Neurofit activity results in a session note, the most useful format is: Activity name, session number, accuracy %, time (seconds), Assist Function use (yes/no and when), and a one-sentence trend observation. Example: "Client completed Trail Making (session 4 of 6). Accuracy 91%, time 47s. Assist Function used once, at the midpoint. Third consecutive session with accuracy above 88%. Processing speed has improved from 74s at baseline."

Avoid documenting the Experience star rating in formal notes — it is a composite metric and does not communicate specific performance information to other clinicians who may review the record.

Neurofit does not currently provide age- or education-matched normative data. All results should be interpreted relative to the individual's own baseline rather than population norms. Baseline is typically established from the first 1–2 sessions (after the initial learning effect stabilizes).