By Arpit Agarwal – Vice President – Analytics & Data Science at Khatabook
In product management, successful collaboration between product managers and business analysts is paramount for success. This partnership forms the backbone of any project, guiding it from inception of the project to its execution. But ensuring seamless collaboration between product managers and business analysts is not an easy task.
First is to define the goal together. Defining the goal individually from a product manager’s or analyst’s perspective should be avoided. Unless the two teams do it together and take each other’s input into this process, the relationship interlock is not built. So, because the product managers are the primary owners of the product, it’s their job to figure out an analytics point of contact who will act like their alter ego through the complete product development life cycle.
Product Manager’s Role
Business Analyst’s Role
Now product development is a long journey. It doesn’t just happen quickly. It takes several months to build a successful product with a product market fit from inception to defining a goal to writing PRD to developing the product. There is a need for continuous communication. Bad communication is one of the key reasons why interlock between product managers and business analysts fails.
Product Manager’s Role
Business Analyst’s Role
This is the third point of interlock between product managers and business analysts. Analysts are treated more like the data delivery mechanism and not seen as someone who can give insights. So there has to be a lot of trust between the two teams.
Product Manager’s Role
Business Analyst’s Role
There are 3 questions that can give clarity to any task:
This is more of an emotional intelligence quotient that should be there within the team. It involves embracing a mindset of support and empathy is essential for navigating challenges and overcoming setbacks. Mistakes will happen and it’s okay. Once we get that attitude of support and empathy, that is when the interlock will actually happen.
Product Manager’s Role
Business Analyst’s Role
Retrospect mainly discusses three questions- what went well, what can we do differently, what caused problems. The focus here is to improve each other. There can be biweekly retrospectives between the product and analytics team to discuss just these three questions. You will be amazed by the results, how openly people give feedback, and the type of exponential improvement you can see just in a month of doing these retrospectives. Open and continuous feedback is the key to building a strong team. If the team is not strong, the product can never be strong.
Hence, seamless collaboration between product managers and business analysts is crucial for driving product success. By defining goals together, continuous communication with equal partnership, discussing problem statements and not tasks, emphasizing and supporting and using the power of retrospectives both product management and business analyst teams can cultivate a culture of collaboration, innovation, and excellence.
Business analysts and product managers can work together by utilizing 5 main tips like defining goals together, continuous communication with equal partnership, discussing problem statements and not tasks, emphasizing and supporting and using the power of retrospectives.
Business analysts handle the technical aspects of product development. On the other hand, product managers are involved in deciding what features to add in the product, conducting market research and so on.
Yes you can transition from business analyst to product manager. This will require you to build skills like leadership, cross collaboration skills, prioritization, and market research.
It is crucial for product managers to have open ended discussions with business analysts. If they have open end conversations and they think out loud then analytics can be more involved in the process. As product managers, you can force the business analysts to think on unstructured problems.
Business analysts should aid in customer research that validates the potential of requirements. They should do event instrumentation that will be used to evaluate performance. They should be able to define success metrics.
About the Author:
Arpit Agarwal – Vice President – Analytics & Data Science at Khatabook