Do not forget that deep-dive research I discussed earlier?
It caught the interest of the VP in my experience area, so my manager and I needed to make sure the story flowed seamlessly and made complete sense before presenting it.
We spent a protracted time on this because every detail needed to be data-backed — anything we said could influence impactful decisions.
When presenting your insights to decision-makers, storytelling skills makes the final word difference between whether or not they’ll find yourself within the leaderboard or the trash
After immersing yourself in a subject for weeks or months, it becomes difficult to differentiate what’s truly invaluable to share from what’s not. Learning tips on how to pick necessary parts of the information and tie them back to suggestions for the product, after which persuade decision-makers to take motion is a vital skill.
Successful presentations are a results of each skillful delivery and strategic curation of relevant and compelling content
At this point, what you wish to discuss to your stakeholders. But do you know how to discuss it?
For those who’re a junior, chances are high you don’t. Even probably the most senior Data Scientists in Tech are still honing this skill.
These are the storytelling skills I acquired while preparing my presentation for the VP’s review
Firstly, make sure that that you simply understand the business goals, important strategic lines, focus areas of the corporate, and the way your project aligns with them.
It will make you create a non-siloed story. Something connected with the living ecosystem of your organization. Your research just isn’t a standalone piece of labor. It’s meant to contribute to a broader mission and vision.
Clearly articulate in your presentation how your work directly aligns with this overarching goal.
Slide 1 — Executive Summary
It gives an summary of your work and features a summary of key insights and suggestions. It sets expectations on your audience.
This could typically include:
- Key insight, number, or concept that sums up the problem at hand
- Research objective + Methods used to succeed in this goal
- One chart illustrating the important thing statistic driving the research
- Bullet points of the important thing insights and suggestions