Find the factors that can most affect the result: we must first figure out what we "want", or even "most want". . For example, you have two offers now, one Whatsapp Mobile Number List is for dachang screw, and the other is for a startup company to have the opportunity to independently take charge of a certain business. The salary of the former is better than that of the latter. How do you choose? Maybe treatment, company background, team, growth, Whatsapp Mobile Number List opportunities, etc. Are all the elements you care about, but there is only one key element that affects your final decision. If you care most about income, choose the one with high income; if you care most about opportunity, choose the one with high opportunity.
When you find the "key determinants", your Whatsapp Mobile Number List problem becomes the ratio, and the cost of decision-making drops immediately. As for how to find the key determinants, a training method can be used: the exclusion training method, that is, one option is excluded at a time, and one option is left at the end. For example, if you Whatsapp Mobile Number List have 5 influencing factors, you need to exclude 1 first; if there are only 3 factors, you need to exclude 1 more; you can only choose 2 at most, and you have to exclude one more; can make a decision, a or b, and the answer comes out. 5. Learn to review frequently no matter what decision we make, whether it is a success or a failure, especially failure.
We must not just give a conclusion that "i am Whatsapp Mobile Number List suitable", but find out which specific reason constitutes the failure. Sometimes a failed review is more important than a successful review. Can we make it clearer that we are underprepared, or are we missing some key information? If there are various reasons, go to the v source and find out which step is the problem. Just like in a war, the morale of the soldiers has an impact, so does the tactics, and so does the strategy for dealing with emergencies on the spot. After the war, think over and over again, what is not good enough, and what can be done better next time, so as to avoid the same failure decision next time in a similar situation.