The essential soft skill for all workers, regardless of profession
Inductive reasoning may be an unfamiliar term, but it has hefty links with critical thinking, problem-solving, and decision-making, which you will certainly have heard of. Inductive reasoning is a logical process that uses evidence to evaluate a situation and reach a conclusion. It is a highly sought-after skill in the workplace.
In this article, learn about the definitions of inductive reasoning, the different types, its advantages and disadvantages, and, most importantly, how to reference it in your CV, cover letter, and interview.
What is inductive reasoning?
Inductive reasoning is a process that uses specific experiences or statistics to logically evaluate a situation and reach a conclusion. It's a process that, regardless of your profession, you may use in your job to problem-solve and make decisions.
Typically, inductive reasoning is broken down into three parts:
Specific observation: A team with no leader missed a project deadline
Pattern recognition: Teams with no accountability often miss project deadlines
General conclusion: A team leader must be appointed to ensure members have support and understand their responsibilities so that they meet project deadlines
Types of inductive reasoning
Inductive reasoning is used in different ways depending on the situation. Here are four types:
Inductive generalisations use observations from past situations as evidence to derive conclusions. Evidence types include:
Large samples: Your sample should be extensive for a solid set of observations
Random sampling: Probability sampling methods let you generalise your findings
Variety: Your observations should be externally valid
Counterexamples: Any observations that refute yours falsify your generalisation
Here is an example of an inductive reasoning generalisation in the workplace:
The SEO team met its organic traffic targets in Q4
The SEO team has met its organic traffic targets in Q4 for the past four years
The SEO team is likely to meet its organic traffic in Q4 this year
Statistical induction, also known as a statistical generalisation or statistical syllogism, uses statistical data to reach conclusions. This type of inductive reasoning is a sub-type of inductive generalisation. While the statistics provide context to making your conclusion, you remain open to new emerging evidence that might change your verdict.
Here is an example of a statistical induction in the workplace:
90% of the customer service team met their customer wait time targets last month
Navid is on the customer team, so they likely met their customer wait time target last month
Causal reasoning involves making cause-and-effect connections between different things, and it requires observable evidence. Effective causal reasoning often has a strong link between the starting situation and the resulting inference.
A causal reasoning statement is often structured in the following way:
Start with the premise of two events that occur
Put forward a direction of the cause or refute any other direction
Conclude with a causal statement about the connection or relationship between the two events
Here is an example of causal reasoning in the workplace:
My team seems stressed when I ask them daily what they did yesterday and what they did today
My team seems more relaxed when I check in at the beginning of the week and the end of the week
Asking my team about their workload daily might cause them stress
Induction by confirmation
Induction by confirmation, also known as confirmation theory, is a type of induction based on accepting specific assumptions to form a conclusion. It is a very common logical process in science and police work, where evidence is then collected to prove or disprove the hypothesis.
Here is an example of induction by confirmation in the workplace:
The team has a high-performing culture when they have an opportunity to connect and discuss non-work topics
The team participated in a pop quiz on getting to know their teammates for one hour and displayed positive mindsets throughout
The team likely formed strong connections and personal relationships with their teammates through the pop quiz, which are fundamentals of a high-performing culture
Inductive vs deductive reasoning
Inductive and deductive reasoning are valuable in the workplace. The main difference between the two is that inductive reasoning is the act of making a generalised conclusion based on evidence or observations, whereas deductive reasoning is the reverse. Deductive reasoning is often called inference.
An inductive reasoning example in the workplace may involve rolling out a new user journey based on the way users interact with landing pages. In practice, you make an observation about one user journey through A/B testing, likely notice a pattern for higher conversions, and therefore conclude with the rollout of a new user journey.
A deductive reasoning example in the workplace may include developing a marketing plan that will be effective for a specific audience. In practice, you develop a theory based on what you know about a target market and create a hypothesis based on the existing theory. You then collect data to test the hypothesis and analyse and test it. Finally, you decide whether you can reject the null hypothesis and prove your theory.
Inductive vs abductive reasoning
The difference between inductive and abductive reasoning is subtle since both use evidence to determine what is likely. Abductive reasoning looks at cause-and-effect relationships, whereas inductive reasoning looks to determine general rules based on evidence.
Therefore, abductive reasoning is more likely to involve information that may be incomplete or sparse. The conclusions made are probable, but less probable than inductive reasoning.
An example of abductive reasoning is in the medical field, where you would use a patient's medical history and symptoms, which can be minimal, to reach the most likely diagnosis.
Inductive reasoning pros and cons
Here are the pros and cons of using a logical decision-making process:
Pros of inductive reasoning
The advantages of inductive reasoning include:
You can work with a decent range of probabilities, even if they are not all true or possible
You can draw on knowledge obtained from your experience to make informed decisions and conclusions
You can develop several solutions to one issue
You can use your research to evaluate other theories and hypotheses
You have a fairly concrete starting point which makes narrowing down your assumptions easier
Cons of inductive reasoning
The disadvantages of inductive reasoning include:
You can reach incorrect conclusions since there could be limitations with your knowledge or evidence
Your conclusion might change since it requires data and evidence to support your claim, and new research may emerge and change your result
How to showcase your inductive reasoning skills
Reasoning is an essential soft skill for the workplace that most employers seek in potential candidates. Any reference to, or examples of, inductive reasoning in your CV, cover letter, or interview can highlight your critical thinking, problem-solving, and decision-making abilities.
Here are three ways to draw on inductive reasoning skills throughout your job hunt:
1. Include inductive reasoning skills in your CV
If inductive reasoning, critical thinking, problem-solving, or decision-making is referenced in the job description as a requirement of a successful candidate, it ought to be mentioned on your CV.
One place to detail the skill is in the key skills and competencies section that resides under your personal statement. Another is in your employment history, where you may have an opportunity to go into more detail about what your inductive reasoning helped you to achieve.
2. Include inductive reasoning skills in your cover letter
You can expand on the inductive reasoning cited in your CV in your cover letter. It's best placed in the section where you discuss your relevant skills and experience. However, cover letters are valuable real estate and if you can tell from the job description that the prospective employer values other skills more, keep your mention of inductive reasoning brief or remove it completely. You'll have a chance to discuss it in the interview.
3. Mention inductive reasoning in an interview using the STAR method
Your interviewer may ask you to tell them about a time that you used critical thinking, problem-solving, or decision-making skills. This is your chance to explain a situation where you used inductive reasoning. To communicate your answer in the best way, employ the STAR method. This will keep your response clear and insightful.
Leverage this skill to progress at work
Inductive reasoning is a useful skill to have and one which will certainly come in handy in your job search.
To be certain that you're flexing your ability to problem solve logically on your CV, why not get a free CV review to make sure you're putting your best foot forward?