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The best HR advice comes from people who’ve been in the trenches.
That’s what this newsletter delivers.
I Hate it Here is your insider’s guide to surviving and thriving in HR, from someone who’s been there. It’s not about theory or buzzwords — it’s about practical, real-world advice for navigating everything from tricky managers to messy policies.
Every newsletter is written by Hebba Youssef — a Chief People Officer who’s seen it all and is here to share what actually works (and what doesn’t). We’re talking real talk, real strategies, and real support — all with a side of humor to keep you sane.
Because HR shouldn’t feel like a thankless job. And you shouldn’t feel alone in it.
I was three months into running Wealth Grid full-time, coming off a decade of building automated trading systems for hedge funds. I thought I knew efficiency. I had spent years constructing algorithms that processed thousands of decisions per second, routing capital across multiple asset classes with zero human intervention. I had built pipelines that operated around the clock without anyone touching a keyboard. I was, by most definitions, a professional at making things run without wasted motion.
So I figured my own operation was tight. Lean. Dialed.
Then I sat down one afternoon and actually mapped where my hours were going. Not where I thought they were going. Not where I wished they were going. Where they were actually, measurably going when I accounted for every recurring task across a normal week.
The result was humbling. Twenty-two hours a week on tasks that either didn’t need me specifically, didn’t need a human at all, or in a handful of cases, didn’t need to happen period. Twenty-two hours. That’s more than half a standard work week, draining out of the business silently, week after week, while I told myself I was being productive.
Here’s the thing nobody tells you when you’re in the thick of running something: the businesses that scale fastest aren’t always the ones with the sharpest founders or the best product. A lot of the time, they’re the ones that figured out how to stop hemorrhaging time on things a machine can handle. And right now, in 2025, AI tools have gotten good enough that the gap between what most small businesses are doing manually and what could be automated is larger than it has ever been in history.
Today I’m walking you through the exact 5-step audit framework I use when I start working with any new client. You can run this yourself in one focused afternoon. No consultant required. By the time you’re done, you’ll have a clear picture of where your hours are going and a prioritized list of exactly which ones to reclaim first.
Step 1: The Time Capture Dump (30 Minutes)
Before you can fix anything, you need an honest picture of reality. Not what you think you do. Not what your job description says you do. What you actually do, every week, without exception.
Open a blank document. Set a timer for 30 minutes. Write down every single recurring task in your business. Do not filter. Do not organize. Do not second-guess whether something is worth writing down. Just list everything that happens on a regular basis that requires your attention or involvement in any way.
This includes things like:
Responding to the same categories of client or customer questions
Pulling data or reports from various platforms and putting them somewhere else
Scheduling, rescheduling, and confirming meetings
Creating content, whether that’s emails, social posts, newsletters, or proposals
Onboarding new clients, customers, or team members
Following up with leads or prospects who haven’t responded
Updating spreadsheets, trackers, or internal dashboards
Sending status updates or check-ins to your team or clients
Reconciling invoices, payments, or expense reports
Reviewing and responding to applications, inquiries, or submissions
Most people end up with somewhere between 40 and 70 items. If you’re running a solo or very lean operation, you might have 25. If you’ve got a team and multiple revenue streams, you might hit 80. Whatever the number is, the goal right now is just to get it out of your head and onto paper.
Once your list is complete, go back through it and add two pieces of data next to each item: how many times per week or month this task happens, and roughly how many minutes each instance takes you. You’re not aiming for perfect accounting. Order of magnitude is fine. The goal is to understand which tasks are eating the most time in aggregate, not to build a forensic record.
Step 2: The 3-Box Sort
Now you’re going to sort your entire list into one of three categories. This is the most important step in the audit and the one most people resist, because honest categorization requires you to confront some things you’d rather not confront.
Box A: Only you can do this. It requires your specific judgment, your relationships, your expertise, or your creative intuition. Things in this box are genuinely not delegatable or automatable without significant quality loss.
Box B: A human needs to do this, but it doesn’t have to be you specifically. The task requires human judgment or communication, but not yours in particular. These are delegation candidates.
Box C: A machine could handle this right now with the right setup. The task is rule-based, repetitive, data-driven, or formulaic enough that software with today’s AI capabilities could execute it reliably.
Here’s where people get stuck: they put things in Box A that belong in Box B or C because it feels uncomfortable to admit that a task they’ve been personally handling for two years could be automated. That discomfort is data. It tells you something about your attachment to the task, not about whether the task actually requires you.
When I run this exercise with clients, somewhere between 35% and 55% of a typical founder’s recurring weekly tasks land in Box C. More than a third of what you’re personally doing this week could, in principle, be handed to software right now. That’s not a criticism. That’s an opportunity.
The goal isn’t to remove yourself from your business. The goal is to remove yourself from the parts of your business that don’t actually need you. Those are two very different things, and confusing them is expensive.
Step 3: Calculate the Real Cost
This is the step that changes how people think about investing in automation tools, because it forces you to put a real number on what the status quo is actually costing you.
Take everything that landed in Box C. Add up the total hours per month you personally spend on those tasks. Then multiply that number by your effective hourly rate, meaning what you earn per hour when you’re doing your highest-value work. If you’re not sure what that number is, take your annual revenue and divide it by the hours you work in a year. That gives you a baseline.
Let’s run an example. You identified 20 hours a month in Box C tasks. Your effective rate is $125 an hour. That’s $2,500 per month, or $30,000 per year, in your own labor being spent on tasks that could be handled by software. Every single month. While you’re telling yourself you’re too busy to set up automations.
Now look at the cost of the tools. A Make.com subscription that can handle the majority of your automation needs runs $9 to $29 a month depending on your plan. A solid AI-assisted CRM might run $50 to $150 a month. You’re looking at $200 a month on the high end to replace $2,500 in founder hours. That’s a 12-to-1 return before you’ve even accounted for the fact that your time has a ceiling and software scales infinitely.
Once people see that math laid out clearly, the hesitation about learning new tools tends to disappear pretty quickly. If you haven’t set up a Make account yet, here’s where to start: https://www.make.com/en/register?pc=dkcapital. The free tier will handle most initial automation setups without spending a dollar.
Step 4: Score by Impact and Difficulty
You’ve now got a list of Box C tasks with real time and cost data attached. The next question is where to start, because trying to automate everything at once is how you end up with six half-built workflows, a lot of frustration, and nothing actually running.
Run each Box C item through a simple two-axis score. Rate it from 1 to 5 on each dimension:
Impact: How much time, money, or mental bandwidth does automating this free up? A task you do daily for 30 minutes scores higher than one you do monthly for 20 minutes. A task that causes decision fatigue scores higher than a mindless one.
Difficulty: How technically complex or time-consuming is it to build? A simple notification trigger scores lower than a multi-step workflow with conditional logic and API integrations.
Your quick wins are the high-impact, low-difficulty items. Start there. Every time. Not with the most impressive or complex thing on the list. With the thing that will give you back real hours before the end of the month.
Based on hundreds of audits, here are the quick wins that show up most consistently across small and mid-size businesses:
Automated lead follow-up sequences triggered by form submissions or CRM stage changes
AI-assisted first drafts of weekly or monthly reports generated from raw data
Meeting scheduling handled by an AI assistant rather than back-and-forth email threads
Social content repurposed automatically from a single primary piece into multiple formats
Client onboarding document delivery, intake form collection, and welcome sequence
Invoice reminders and payment follow-up sent automatically at defined intervals
Internal status updates and team check-ins templated and sent on a recurring schedule
Any of those match items on your Box C list? Those are your first targets. Circle them now.
Step 5: Build One System Before You Build Ten
This is where most people fall off, and I want to spend a little extra time here because the failure mode is so predictable and so preventable.
You run the audit. You feel the clarity that comes from seeing exactly where your time is going and understanding the financial cost of it. You get energized. You start building an automation for your lead follow-up. Then you remember the report automation you wanted. Then you think about the scheduling tool. Before long you’ve got six browser tabs open, three half-configured Make scenarios, a YouTube tutorial playing in the background, and you haven’t shipped anything.
Two weeks later, you’re more behind than when you started, and you’ve added a layer of guilt on top of the original problem. This is the automation graveyard. Most founders have visited it at least once.
Here’s the rule I give every single person I work with, without exception: pick one thing. Build it completely. Run it for two weeks in real conditions. Refine it based on what you learn. Then and only then do you pick the next thing.
The first system you build is worth more than the next five you plan, for one simple reason: it teaches you things that no tutorial can. It shows you the actual friction points in your workflow. It reveals the edge cases that only show up with live data. It exposes the places where the documentation doesn’t tell you what happens when something unexpected occurs. That education compounds into every system you build after it.
The founders who build durable automation systems don’t build them faster than everyone else. They build them more completely, one at a time, until they have a portfolio of reliable workflows rather than a collection of abandoned experiments.
Done is infinitely more valuable than planned. A simple automation that runs reliably every day beats an elaborate one you never finished building.
Your assignment right now is specific: run the audit, identify your single highest-scoring quick win, and commit to having that one automation live and running within the next 10 days. Not researched. Not outlined. Not in draft. Live, sending real outputs, handling real work.
If you want us to run this audit for you and build out a prioritized automation roadmap for your specific business, reply with the word AUDIT. We will map the whole thing and show you exactly what to build, in what order, with what tools.
The businesses winning right now are not working harder than yours. They have just stopped spending their founders’ time on things that don’t require a founder. The audit is how you find those things. Everything else follows from there.
Let’s build something that runs.
Dan Kaufman
Wealth Architect, The Wealth Grid


