According to a 2019 Workana Report of Remote and Independent Work, one of the three main reasons professionals opt to freelance is the possibility of choosing which projects to invest their time, effort and talent in.
One of the main characteristics of Generation X was the gradual elimination of the difference between work and personal life.
Work began to be part of one’s identity and young people increasingly became concerned with devoting themselves to something they were passionate about. This change had taken root by the time Generation Y (aka Millennials) entered the workforce.
So, a concept that is becoming more and more important is job matching in the digital age.
Good job matching is what will allow independent professionals to find more and better projects that fit their skills and specialisation.
Job matching obviously has a virtual dimension — the digital footprint an individual generates will determine the type of clients and projects that come to them, but it will continue to have a strong human component.
A professional algorithm is complemented by the active effort the individual makes to leave a fantastic impression in the right places.
Data matching in everyday life
Individuals are, without realising it, being influenced by thousands of algorithms designed to bring to screens the services, content and products that are best suited to their needs and lifestyle.
Behind the notifications and personalised recommendations there is a type of artificial intelligence.
Users of entertainment platforms such as Netflix, Spotify or YouTube may remember that at the beginning a lot of time is spent searching for series, music, or videos among hundreds of options.
But as time goes by, these apps know the individual so well, all that is needed is the recommendations made for one at the beginning.
The content that shows up in a social media newsfeed follows a similar principle. The posts, news, and advertisements are not random, rather, they respond to an algorithm that puts in front of a person what is most likely to interest them and improve the user experience.
Finally, take Google, which is not only the king of search engines, but also the king of data matching.
Just tell the voice assistant on a mobile phone that one feels like eating pizza today. In a matter of seconds, the system will match the individual to the nearest open pizzeria with the best reviews.
Data matching not only saves time searching and choosing, it is a powerful tool in terms of macro and micro economy.
How data matching applications apply to work life
A freelancer is a provider of independent services who needs to find and be found by the target audience.
Successful professional matching can be defined as the construction of a digital and life algorithm that would put one in front of projects that are increasingly more in line with one’s career goals.
Unlike traditional matching, which is primarily based on a user profile and online consumption patterns, data matching for an independent professional has at least two dimensions: the digital footprint and the passive data available, such as the contacts made for each project and the objective quality of the work.
What the individual claims to offer and what is actually offered are both factors.
Three essential guidelines for professional matching
1. Become specialised
According to Natalia Werner, Workana’s content leader, a fundamental part of good professional matching is specialisation. Freelancers are not looking for just any client or any project — they want a project they love, that lines up with what they are passionate about.
To achieve this, a clear vision is needed and knowing how to communicate what makes one stand out from other freelancers — and the individual should stay in a constant state of professional growth to become the best specialist in their field.
2. Leave a human and digital footprint
A digital footprint is everything that leaves a record of one’s online activity. For freelancers, a professional digital footprint is essential for presence and authority.
One’s profile on platforms such as Workana, the professional profile on social media and the key words of any professional website one has should be crafted precisely so the client who is looking for a specialist can find one as easily as possible.
But, the work doesn’t stop there. The goal is not only data matching, but spectacular results from that matching, which builds client trust. The goal is to consolidate one’s professional algorithm by rehires and permanent recommendations from each satisfied client.
3. Seek out what one is passionate about
Most freelancers start out with general jobs and projects. But, little by little, they start to home in on what they like the most or what they are best at.
Reaching the long-term objective that each of the projects committed to is exactly what the individual wants, implies constant work and effort to change the “same old projects” to more specialised and better paid projects they are happier with.
These three recommendations are not isolated, but come together to build an algorithm that works behind the scenes to maximise data matching to help individuals win the best projects.
Workana works every day to make its platform the highest quality tool to help freelancers achieve this goal.
Click here to find out more about Workana to start hiring or enlisting as a freelancer.