Hard work is not appreciated!?

May 30th, 2022
Your hard work is not appreciated. So why should you still do it? There is a good reason.
Hard work is not appreciated

People, especially those who do not have a close relationship with you, do not care how hard you worked on something. Case in point, I remember situations when someone tried to rush through demonstrating a minimal effort piece of work and got stopped, asked many questions, and figuratively padded on the back multiple times to their astonishment. Why did they get praise for trivialities?

Why is hard work not appreciated?

If you are a bit more seasoned, you might know the answer already. Only the impact on the audience matters and drives its interest and appreciation more than heroic late nights and technical brilliance. You should not expect much enthusiasm from others if the impact is

  • Internal to your team mostly

  • Removing technical debt

  • Strategic long-term beyond quarterly horizons

  • Adding security or removing risk

These have no immediate, measurable ROI or grateful audience, or their absence is more impactful than their presence, e.g. security and risk management.

Other examples are where the effort greatly outweighed the impact, but it needed doing for good or bad reasons. Good reasons can be foundational work, and the first value drop is minimal, and the impact is strategic, enabling future work and value delivery. Bad reasons can be poor planning or non-data-driven decision-making, e.g. based on gut feeling or tradition or because everyone else is doing it.

Do not despair; hard work is still worth doing!

Once you understand the above, you can use it to your and your organisation's advantage. Break with the expectation that people appreciate your effort and become comfortable with celebrating value delivery. Sometimes you put in a lot of work for little immediate value, but it pays back later when you occasionally get a lot of value for little effort. It should average over time, and hopefully, overall, you get the appreciation you deserve. But it takes a little learning and attention to 'sell' your work according to its value. I advise juniors to promote and savour the easy wins, get the attention and appreciation, and not dwell on the unappreciated low-impact hard wins. 

There is another significant benefit attached to working this way. It starts pivoting your view. I used to look at the world through the eyes of an engineer at the beginning of my career. Every problem had an elegant technical solution, and complex problems were more interesting than simple ones. That is divorced from what happens in reality. No one outside the team building the solution cares about its implementation or sophistication. 

Businesses care about impact, e.g. is something possible and feasible in resources and time? Quickly you learn that sometimes good is good enough or some problems are not worth solving no matter how irresistible they are. For a data scientist, it can mean using a simple, robust, boring algorithm instead of the latest complex ones or developing your own. For engineers, it can mean using existing tools, libraries or services instead of building your own.

If enough individuals in a business realise this, good things happen. It achieves valuable outcomes faster and more effectively. Poorly motivated goals may still exist, but they might be starved of resources or achieved with absolutely minimal effort since there is no or little value in them. Importantly, you will save your hard work for worthwhile goals, which spares you disappointment and the business wastage. Businesses either learn and reduce poorly motivated goals or lose their best staff in the long term.

Do not fight it; embrace it.

Looking at how your work is perceived and how it adds or does not add value to your organisation can help you avoid disappointment. And it can make you better at your job by avoiding some unappreciated work that is unnecessary. But there will always be necessary thankless work. Luckily there will be easy wins where you change one line of code and have people cheering you because it made their (work) lives better.

    Let's talk

    You have a business problem in need for data and analysis? Send us an email.

    Subscribe to updates

    Join Bold Data's email list to receive free data and updates.

Related Posts

9 Proven Programming Productivity Prompt Tips for ChatGPT

Cyborg red eyes
Learn to harness the potential of ChatGPT4, your virtual programming partner, with nine prompting tips. Improve your programming skills by communicating clearly, engaging in conversation, using the proper syntax, and iterating on complexity. Keep context fresh, and ChatGPT4 will be invaluable in your coding journey.

4 career tips I wish I knew

You didn't come this far to only come this far
When I mentor university students or discuss careers with the people I lead, I often draw from four pieces of advice. I wish I had known these when I started, but they come with experience, perspective and confidence. Three things most of us lack at the beginning.

Amazon bestsellers are big data

Your data's size matters
According to an adage, big data is anything too big for Excel, i.e. more than 1,048,576 rows. It is a bit cheek-in-tongue, but, as with many jokes, it is grounded in truth. Many business processes run on Excel to this day. That is an issue when analysing datasets like Amazon product data for valuable insight on pricing, production and supply planning, and new product or category development. Excel cannot load a single country's Amazon bestseller list. Even if you use more scalable systems, many will struggle to analyse the more comprehensive product catalogue, complex product and category relationships, or changes over time.

Free Amazon bestsellers datasets (May 8th 2022)

All you can eat free data
Get huge, valuable datasets with 4.9 million Amazon bestsellers for free. No payment, registration or credit card is needed.

All Blog Posts

See the full list of blog posts to read more.
Subscribe for updates, free datasets and analysis.