5 AI Prompts to Analyze Your Focus Data (Copy and Use Today)

Five ready-to-use AI prompts that turn a week of session logs into specific, actionable insights about your focus patterns — from baseline analysis to intervention testing.

These prompts assume you have a basic session log: date, task type, session length, distraction count, and quality rating. Paste your log after each prompt. If you do not have data yet, the first prompt will tell you what to start collecting.


Prompt 1: First-Time Baseline Analysis

Use this if you have one week of session data and want a structured first read.

Here is my first week of focus session logs. Each entry includes:
date, start time, end time, task type, distraction count during the session,
and a quality rating (1=poor, 2=adequate, 3=excellent).

[paste log]

Please calculate:
1. My average deep hours per day
2. My session completion rate (sessions that ran to planned end time)
3. My average distraction count per hour

Then tell me: which of these three numbers shows the most room for improvement,
and what one question I should be asking about my focus environment based on
this data.

Prompt 2: What Conditions Drive My Best Sessions?

Use this after two or more weeks of logging, when you have enough sessions to find patterns.

Here are [X] focus session logs from the past [X] weeks.
I've also noted weekly context: sleep quality (1–3 scale) and number of
scheduled meetings per day.

[paste log]

Please identify:
1. The two conditions most consistently associated with my quality-3 sessions
2. The two conditions most consistently associated with my quality-1 sessions
3. Whether my distraction count appears to differ by time of day, task type,
   or any other variable you can see in the data

Keep your analysis grounded in what the data actually shows. Flag anything where
the pattern is weak or based on only a few data points.

Prompt 3: Diagnosing a Bad Week

Use this when a specific week went significantly worse than normal, to surface hypotheses about why.

My focus metrics dropped significantly this week compared to my recent baseline.
Here is this week's session log and my previous two weeks for comparison:

[paste all three weeks]

My best guess at what was different this week: [briefly describe — more meetings,
new project started, stressful deadline, disrupted sleep, etc.]

Please:
1. Confirm whether the metrics drop is as significant as it felt
2. Identify what specific metrics dropped most (volume, completion, distractions)
3. Given what I described as different, generate two or three hypotheses about
   what caused the drop
4. Tell me one thing I should watch closely next week to test the most likely hypothesis

Prompt 4: Testing Whether an Intervention Worked

Use this when you have tried a specific change — earlier deep work block, no morning meetings, phone in another room — and want to assess whether the data supports it.

Four weeks ago I made a specific change to my focus setup: [describe the change].

Here are my session logs from the two weeks before the change and the two weeks after:

[paste before data]
[paste after data]

Please compare my three Focus Dashboard metrics — deep hours per day, session
completion rate, distraction count per hour — between the two periods.

Tell me:
1. Whether there is a meaningful difference in any of the three metrics
2. Whether the change appears to have had an effect, a mixed effect, or no effect
3. What, if anything, is ambiguous and needs a longer test period to resolve

Prompt 5: Monthly Trend Review

Use this at the end of each month to assess whether your focus capacity is improving, stable, or declining.

Here are four weeks of focus session logs. I want to understand my trend, not
just my weekly averages.

[paste four weeks of logs]

Please:
1. Calculate my three Focus Dashboard metrics for each individual week
2. Identify whether each metric is trending up, down, or flat across the month
3. Flag any week that looks anomalous relative to the others and suggest what
   might explain it
4. Tell me whether my overall focus performance at the end of this month is
   stronger, weaker, or similar to the beginning — and what one thing the data
   suggests I should focus on next month

These five prompts cover the core analytical questions: where am I now, what drives my best work, why did a specific period go wrong, did my intervention work, and am I improving over time.

Pick the one that applies to your current situation and run it before your next planning session.


Related: Complete Guide to Focus Metrics and AI · How to Measure Focus with AI · Beyond Time Focus Metrics Walkthrough

Tags: AI prompts, focus analysis, session logging, weekly review, deep work prompts

Frequently Asked Questions

  • What format should my focus log be in for AI analysis?

    A simple table or plain text list works well. Each entry should include: date, session start/end time, task type, distraction count, and quality rating (1–3). Add weekly context (sleep, meeting load) as a separate note before pasting.
  • How many sessions do I need before these prompts work?

    Five to seven sessions is enough for the first two prompts. Prompts 3 and 4 work best with two or more weeks of data. Prompt 5 requires at least four weeks for meaningful trend comparison.