If you’ve decided to use Beyond Time for 15-minute time tracking, this walkthrough covers the actual experience from setup to your first weekly review. It’s a functional description of how the tool works, not a feature list.
Setting Up the Time Log
When you first open the time tracking module in Beyond Time, the setup screen asks two questions before it lets you start logging.
Question 1: What are your categories?
Beyond Time prompts you to define your category set—the activity types you want to track. It offers suggested sets based on your role (knowledge worker, manager, freelancer, student) but lets you customize entirely. You can start with a suggested set and modify, or build from scratch.
For a freelance consultant, a starting configuration might look like:
- Client Delivery
- Client Comms
- Admin / Operations
- Business Development
- Learning
Beyond Time recommends starting with three to five categories and displays a brief explanation of why: category complexity is one of the leading causes of tracking system abandonment. You can add categories later.
Question 2: How do you want to be reminded?
You choose between:
- Timer-based reminders — the platform sends a notification every 15 minutes during your set working hours
- Transition-based — you log manually at activity transitions and the AI helps classify ambiguous entries
- Batch logging — you log in groups at set times (end of morning, end of day)
For building the logging habit initially, timer-based reminders are the most reliable. Beyond Time defaults to this and asks you to set your working hours window.
Making an Entry
The entry interface is designed for speed. When a reminder fires (or when you open a new entry manually), you see:
- A text field labeled “What were you doing?”
- A category selector showing your taxonomy
- A time stamp pre-filled with the current time
You type a natural-language description: “Working on quarterly strategy memo for Acme.” You don’t need to pick a category immediately—Beyond Time’s AI will suggest one based on your description and your category definitions.
The AI tagging is the most useful friction-reduction feature in the tool. Your entry:
“Working on quarterly strategy memo for Acme”
Gets auto-tagged as: Client Delivery (with a confidence indicator). If the suggested tag is right, you tap confirm. If not, you correct it with one tap on the right category.
Over time, the tagging accuracy improves as the AI learns your patterns—that “Acme” always refers to client work, that “memo” is always delivery, that “catch-up with Sarah” is always a meeting.
A full entry takes 15–20 seconds including confirmation.
The Daily Log View
Beyond Time’s daily view shows your entries in a scrollable timeline. Each entry is displayed as a color-coded block—each category gets a distinct color. By midday, you can see at a glance how the morning is distributed: a typical well-structured morning might show long blocks of one color (deep work) with short interruptions of another (comms), while a fragmented morning shows many short multi-colored blocks.
The visual representation matters. Seeing fragmentation at 2 PM while the morning is still fresh creates a real-time feedback loop that end-of-day or end-of-week review doesn’t provide.
You can edit entries by tapping them—useful for fixing incorrect tags or adjusting timestamps when you’ve logged slightly late.
The Weekly Review
Beyond Time generates a weekly time report automatically each Sunday (or at your configured week-end time). The report has six components:
1. Category breakdown. Total hours and percentage by category for the week. Displayed as both a bar chart and a table.
2. Daily pattern. A heatmap showing activity category by hour of day, across the five weekdays. This is where energy-task mismatch becomes visible: if your deep work category is concentrated in afternoon squares rather than morning squares, the heatmap shows it.
3. Fragmentation index. A measure of how often you switched categories during the week, expressed as average “context switches per hour.” A lower number indicates more sustained work in single categories; a higher number indicates a fragmented week.
4. Week-over-week comparison. If you have previous weeks of data, this section shows how the current week’s category breakdown compares to the prior week and to your rolling four-week average.
5. AI observation. One specific observation from the AI about the week’s data—identified from patterns in the log rather than generic commentary. Examples from a real use: “Your deep work time increased this week, but it was heavily concentrated in two long sessions on Wednesday. Your other days had very limited deep work blocks.” Or: “Your Admin category increased 40% this week versus your four-week average. The entries suggest this is driven by scheduling-related tasks, which may be worth examining.”
6. One question. Beyond Time asks one question to prompt reflection—not a to-do, but a genuine question the data raises. “Given that most of your deep work happened after 2 PM, is your morning calendar structure supporting that or working against it?”
The weekly review is read-only—you’re not filling anything in. It takes about five minutes to read through and another five to ten if you want to ask follow-up questions in the AI chat that accompanies each report section.
Connecting Time Data to Goals
This is where Beyond Time’s integrated design becomes most useful.
If you’re also tracking goals in the platform, the weekly review includes a goal-alignment section. It shows each active goal alongside the time categories that were tagged as supporting it, and calculates the hours allocated to each goal this week.
For a consultant tracking a business development goal, the alignment section might show:
| Goal | Intended Hours/Week | Actual Hours/Week |
|---|---|---|
| Business Development | 6 hrs | 2.5 hrs |
| Client Delivery (quality target) | 20 hrs | 22 hrs |
| Learning / Skill Development | 3 hrs | 0.5 hrs |
The gap between intended and actual is the most actionable output in the entire system. It converts a vague sense that “I’m not spending enough time on business development” into a specific number—and a specific change to make next week.
The goal-alignment connection is also why Beyond Time is more useful than a standalone time tracking tool for people who are trying to connect daily work to longer-term goals. The complete guide to goal tracking with AI covers the goal-side of this integration in more detail.
What Beyond Time Doesn’t Do
A few honest limitations:
Beyond Time doesn’t track time automatically. If you don’t make an entry, the system has no way to know what you were doing. Automatic time tracking (tools that infer activities from application usage or calendar data) exists in other products; Beyond Time is a manual logging system with AI analysis, not a passive tracking system.
The weekly report analysis is generated weekly. If you want daily AI-generated insights—“I notice today’s first three hours were fragmented, here’s why”—the current version of the platform doesn’t generate those automatically. You can ask in the AI chat window at any time, but it’s not a daily push.
The tool is built around knowledge work and professional time categories. It doesn’t have specialized billing features, project management integrations, or team reporting. If those are your primary needs, a dedicated time billing tool is a better fit for that layer.
Getting Started
The fastest path from zero to useful data in Beyond Time:
- Set up your category taxonomy—five categories or fewer.
- Enable 15-minute timer reminders during your working hours.
- Log for five days. Don’t worry about completeness.
- Open the weekly report on Friday. Read it. Ask one follow-up question.
You’ll have more useful information about your week by Friday than most people gather in months of informal self-assessment.
Your action: If you’re evaluating whether a dedicated platform makes sense over a manual notes-based approach, the free trial gives you enough access to run a complete week of tracking and see what the weekly AI report produces from your actual data.
Frequently Asked Questions
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Does Beyond Time require me to log manually in 15-minute increments?
Beyond Time supports flexible logging intervals. The 15-minute quantum setup described in this walkthrough is one configuration option. You can log in real time as entries happen, use a timer-based reminder to prompt logging, or batch-enter entries at the end of a work session. The platform's AI tagging works on any text-based entry, regardless of when you log it.
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How does Beyond Time handle billing-related time tracking?
Beyond Time's time log can be configured with billable/non-billable markers and client or project tags. The platform exports logs in formats compatible with common invoicing workflows. However, it's primarily a planning and productivity tool, not a dedicated billing application—for practices that rely heavily on billable-hour reporting, a specialized billing tool may be a better primary system, with Beyond Time used for the planning and analysis layer.
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Can I connect my Beyond Time time data to goals I'm already tracking?
Yes. This is one of the platform's core design intentions. If you have goals set up in Beyond Time, you can link time log categories to specific goals, so the weekly AI analysis includes a breakdown of how your time allocation maps to your stated priorities. The connection makes the gap between intended and actual allocation visible in a single interface.