A Matchmaker’s Advice on How to Make a Great First Impression at Work
While trying to get hired, moving up the organization, or impressing clients, first impressions really become the last ones. However, many people who apparently make a great first impression on a date, meeting or party complain about being ‘ghosted’.
The devil is in the details here, as there are many small cues, the little things that create a lasting impression or make the other person create a negative impression of someone.
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It’s important to first consider where you are trying to make a good impression—whether it’s a formal job interview or a dinner date.
Context matters. It gives you cues as to how you should dress, speak, look and behave, in a way that matches the setting you are entering to. That is a key aspects of making a good impression.
Try not to look bored, rude or hostile.
A useful attitude is welcoming, curious and enthusiastic: smile, make eye contact long enough to notice the color of that person’s eyes, sit without crossing your arms or legs. This project a positive, open warm impression.
First impressions are like invisible tattoos we imagine for each and every person we meet. While it is possible to change a first impression, it is very difficult to succeed doing this.
In order to make a good first impression, you should consider checking out the below tips:
In a professional setting, our identity is largely governed by the perception of our peers, colleagues and bosses,
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People who want to hire us, invest in our companies or collaborate with us increasingly look at our digital footprints on LinkedIn, Facebook, Google and Twitter to ‘profile’ us.
As we go more and more online, the way we are perceived digitally, in our display pictures, zoom videos, emails and social media provides a mountain of data for humans, and machines to make judgements about our personal and professional attributes.
As companies and individuals access our digital avatars and make their judgements, we have the ability to curate them and tell them a story that we want them to hear.
We need to understand the algorithms that are formulated to identify signals and patterns, and ‘hack’ them to our advantage.