Inductive reasoning moves from the specific to the general, i.e. collects many exempla to determine what is most often the case. The main ways to strengthen induction are to do additional research to make sure you have a larger sample of examples, to do statistical analysis to show that your results are significant, to prove the relevance of your particulars to your conclusion, and to show the typicality of your examples.
For examples, assume you claim, inductively that "I had two jobs, one flipping burgers and one making lattes, and both were badly paid, boring and repetitive, and therefore all jobs are boring and badly paid." This is a (bad) inductive argument. First, the sample size is to small to draw conclusions. Next, the samples are not typical or all jobs but represent a narrowly selected group ... etc.