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What is the best way to incorporate feedback from data scientists and analysts into your product road map?

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If you are building a data-driven product, you need to listen to your data scientists and analysts. They are the ones who can help you validate your assumptions, measure your impact, and optimize your features. But how do you make sure that their feedback is aligned with your product vision, strategy, and road map? In this article, we will share some tips on how to incorporate data insights into your product planning and decision making.

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1 Define your goals and metrics

Before you ask for feedback from your data team, you need to have a clear idea of what you want to achieve with your product and how you will measure it. You should define your product goals and key performance indicators (KPIs) that align with your business objectives and customer needs. This will help you communicate your expectations and priorities to your data team, and also provide them with a framework to evaluate your product performance and suggest improvements.

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Prof. Dr. Sven Lindberg

Professor of Psychology I Entrepreneur I Board Member
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?? Integrating feedback from Data Scientists and Analysts into your product roadmap is crucial for startup success! Before reaching out to your data team, clarity is key. Define your product goals and metrics for success. ??? For instance, envision how Apple's visionary founder approached product development. He meticulously outlined the desired outcome and measurement strategies before engaging his team. By aligning their efforts with clear objectives, innovations like the iPhone were born. ???? Remember, clarity empowers your data experts to provide actionable insights, shaping a roadmap that drives tangible results. ??? Embrace this approach, and watch your startup soar! ?? #Startups #DataDriven #DecisionMaking

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2 Involve your data team early and often

Don't wait until you have launched your product or feature to get feedback from your data team. Instead, involve them from the start of your product development process, and keep them updated throughout. This way, you can leverage their expertise and insights to validate your hypotheses, design your experiments, and analyze your results. You can also avoid wasting time and resources on building something that doesn't work or doesn't matter for your customers or your business.

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Marianne ??? Borenstein (She/Her)
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In my experience, embedding at least one core member of the data science team into the Customer Success organization is vital to the product roadmap and prioritization process. Not only does it enable the whole data science team to be a part of the Customer Journey but it reduces re prioritization of effort and thereby increases efficiency of execution (and spend!). When the Data Science team just “gets it” they get to yes much quicker and are excited to have direct customer feedback and validation for their initiatives as well. This is a total win-win.

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Danielle Chun

VP of Operations at Array Insights
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At Array Insights, we integrate our data scientists' feedback into the product roadmap by involving them consistently through working sessions. The Array team prioritizes data-driven insights; therefore, we use our data scientists' expertise to help shape the Tallulah platform. This ensures their expertise shapes not only the current features, but the product roadmap effectively, aligning with our technical and business objectives of secure, insight-forward products.

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Venkatesh S.

Product Analyst at ZEOMEGA INFOTECH PRIVATE LIMITED
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Collecting feedback from the Data team helps in validating the product strategy. For example, for the product feature that I was working on requirements gathering and were unable to find any patterns for concluding that it will be a feature that will solve the problem for end users. So, I'd to involve data analysts in the process for the validation of strategy. It'll also be helpful to define product goals and KPIs for the product roadmap.

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3 Create a feedback loop

Feedback from your data team is not a one-time thing. It is an ongoing process that requires constant communication and collaboration. You should create a feedback loop that allows you to collect, review, and act on data insights regularly. You can use tools like dashboards, reports, and alerts to monitor your product performance and identify issues or opportunities. You can also schedule meetings, workshops, or reviews with your data team to discuss your findings, learnings, and actions. The goal is to make data feedback an integral part of your product development cycle, not an afterthought.

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Subhasree Goswami (She, Her)

Digital Analytics, MarTech and Personalization @Petco | Product Management | Website & Mobile Apps | ex-Saks Fifth Avenue
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In my experience, data team should be leveraged before and after launching a product to continuously evolve the product to create a feedback loop. First, ensure we have the right metrics to decide what’s going to move the needle in terms of annualized revenue or whatever success looks like and also evaluate the LOE against it. After MVP, monitor the data to gauge the forecasted vs actual lift, what’s working vs not and decide on a second iteration of the product also keeping in mind user feedback. Launching with an A/B Test when possible is recommended so that based on the results from data team, either damage control can be done to stop the conversion impact as well as scale faster if the lift in CVR is really high.

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4 Balance data and intuition

Data feedback is valuable, but it is not the only source of information for your product decisions. You also need to use your intuition, experience, and creativity to come up with innovative solutions and new ideas. Data can tell you what is happening, but not always why or how. Sometimes, you need to experiment, explore, or test different options to find the best answer. You should balance data and intuition by using data to inform your decisions, but not to dictate them.

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5 Align your stakeholders

Finally, you need to make sure that your stakeholders are on board with your data feedback and your product road map. You should share your goals, metrics, and data insights with your team, your management, and your customers. You should explain how data feedback helps you achieve your product vision and strategy, and how it influences your product road map. You should also solicit feedback from your stakeholders and address any concerns or questions they might have. By aligning your stakeholders, you can increase your buy-in, trust, and support for your product decisions.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What is the best way to incorporate feedback from data scientists and analysts into your product road map?

1

2

3

4

5

6

1 Define your goals and metrics

2 Involve your data team early and often

3 Create a feedback loop

4 Balance data and intuition

5 Align your stakeholders

6 Here’s what else to consider

Startup Development

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What is the best way to incorporate feedback from data scientists and analysts into your product road map?

1

2

3

4

5

6

1 Define your goals and metrics

2 Involve your data team early and often

3 Create a feedback loop

4 Balance data and intuition

5 Align your stakeholders

6 Here’s what else to consider

Startup Development

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