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Master the Art of Preparing Scientific Presentations [Cheatsheet For Beginners]



Master the Art of Preparing Scientific Presentations [Cheatsheet For Beginners]

Humans have been searching for answers to the world around them since the dawn of creation. Our scientific method was first fairly primitive and perhaps unsophisticated. We watched and reflected. But, as research methodologies and thinking paradigms evolved, we arrived at the modern period of enlightenment and science.

So, what is the current scientific method, and how can you discuss and explain your research outcomes to others accurately?

These are the two essential questions addressed in this blog. But before that, if you want to cut down your efforts to half while creating a scientific presentation, try the exclusive range of Google Slides templates by SlideUpLift!

What is the Scientific Method?

The scientific method is a technique of doing research that is based on theory creation, hypothesis generation, empirical testing, and theory modification if the hypothesis is rejected.

A scientific method, in essence, is a catch-all word for the procedure that every scientist use to objectively evaluate the world (and particular phenomena) around them.

The scientific method is the polar opposite of beliefs and cognitive biases, which are mainly irrational and frequently unconscious interpretations of various events that we rely on as a mental shortcut.

The scientific method in research, on the other hand, compels the thinker to analyze and test our methods of data interpretation holistically in order to achieve reliable and non-arbitrary results.


According to the Stanford Encyclopedia of Philosophy, Plato and Aristotle are thought to be the founders of the scientific method. They were among the first to use the scientific method, experimentation, and logical reasoning to try to defend and develop their thought process.

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Examples of common scientific methods include:

  • Methodical observation
  • Experimentation
  • Reasoning inductively and deductively
  • Hypotheses and theories are developed and tested

All of the aforementioned methods are used by both scientists and companies to better understand the data and/or phenomena at hand.

Importance of Scientific Method in Today’s Era

Because our forefathers did not have as much information as we do, we currently live in an era of unparalleled data accessibility and connection, with over 2.5 quintillion bytes of data created every day. This has greatly expedited the generation of knowledge.

At the same time, such excessive data exposure makes us more susceptible to external influences, prejudices, and erroneous beliefs. These can undermine the objectivity of any research you do.

Scientific discoveries must be objective, verified, accurate, and consistent. The careful application of scientific methods in business world and science helps to assure appropriate data interpretation, replication of outcomes, and undeniable validity.

5-Step Process To Deliver a Ground-breaking Scientific Presentation

Whether you’re presenting a poster session, a conference lecture, or a follow-up presentation on a newly published journal article, the majority of your colleagues will want to know how you arrived at the results you’ve provided.

In other words, they will look for flaws in your scientific method to guarantee that your outcomes are fair and reproducible so that they may use your theories in their study as well. As a result, your scientific presentation must be concise, on-point, and explicitly focused on your research methodologies.

A basic foundation for producing a convincing scientific presentation is provided here.


1. Begin Your Presentation with a Research Question

Here’s how to easily begin a scientific presentation: Tell about your research question. On the first slide, simply summarize your thought process. Briefly describe the overarching goal of your research: Share your primary theory and indicate if you can prove or disprove it.

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It may be tempting to cram a lot of information onto your first slide but don’t. Keep your presentation’s start brief in order to pique the audience’s curiosity and prepare the stage for the follow-up story.

2. Reveal Your Scientific Methods

Many audience members will be interested in how you got to your conclusions, whether you are giving a science poster presentation or a conference discussion. To avoid ambiguity, provide this information at the start of your presentation.

In a presentation, here’s how to structure your scientific methods:

Use bullet points instead of complete sentences. To list the methods, use diagrams and organized graphics.

When feasible, utilize images and iconography to illustrate metaphors.

Sort your methods into categories, such as measurable and non-quantifiable.

Finally, while creating visuals for your presentation, such as charts, graphs, pictures, and so on, consider yourself as a subject newbie.


Is the image conveying the most important information about the subject?

Does it aid in the breakdown of complicated ideas?

3. Highlight the Results to Your Audience

Obviously, the research findings will be your most valuable source of bragging rights. Do not, however, overburden your presentation with a lengthy description of your results and how revolutionary they may be for the community.

Instead of writing a wall of words, try this:

  • To demonstrate the facts in great detail, use graphs with huge axis values/numbers.
  • Prioritize formats that everyone is familiar with (odds ratios, Kaplan Meier curves)
  • Allow no more than five lines of simple text on each slide.

Overall, if the results slide becomes too crowded, it’s advisable to shift the data to a new one.

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4. Don’t Forget To Mention The Limitations of the Studies

Objectivity is required by the scientific method. As a result, every researcher must indicate precisely what was omitted from their study. Remember that no piece of scientific study is genuinely universal and has limits.

However, if you do not declare them explicitly, people may struggle to draw the boundary and duplicate your results. If they fail to do so, they will doubt the feasibility of your study.

5. Conclude with an Unforgettable Takeaway

Every seasoned speaker will tell you that the stuff they hear first and last is the most memorable. During the day, many people will join more than one scientific presentation.

So, if you want your audience to remember your presentation, create a take-home message for the final slide. Consider your last slide text to be an elevator pitch – a brief statement that summarizes your findings.


Wrapping It Up

There is no shortage of study and scientific tools available today for testing and validating our hypotheses. However, unlike our forefathers, most scientists face greater scrutiny when presenting and explaining their discoveries to others.

That is why it is critical that your scientific presentation properly conveys the goal, direction, and thinking process underlying your study.

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B2B customer journeys that begin at review sites are significantly shorter



B2B customer journeys that begin at review sites are significantly shorter

The B2B customer journey can be a long one, especially when the purchase of expensive software subscriptions is under consideration.

“The average B2B customer journey takes 192 days from anonymous first touch to won,” according to Dreamdata in their 2022 B2B Go-to-Market Benchmarks — a statistic described by co-founder and CMO Steffen Hedebrandt as “alarming.”

But the report also indicates that this journey can be significantly sped up — by as much as 63% — if accounts begin their research at software review sites, gathering information and opinions from their peers. Journeys that originate at a review site often lead to deals of higher value too.

Fragmented data on the customer journey. Dreamdata is a B2B go-to-market platform. In any B2B company, explained Hedebrandt, there are typically 10 or even 20 data silos that contain fragments of the customer journey. Website visits, white paper downloads, social media interactions, webinar or meeting attendance, demos, and of course intent data from review site visits — this data doesn’t typically sit in one place within an organization.

“We built an account-based data model because we believe that there’s such a thing as an account journey and not an individual journey,” said Hedebrandt. “So if there are two, three or five people representing an account, which is typically what you see in B2B, all of these touches get mapped into the same timeline.”

Among those many touches is the intent data sourced from software review site G2. Dreamdata has an integration with G2 and a G2 dashboard allowing visualization of G2-generated intent data. This includes filtering prospects who are early in their journey, who have not yet discovered the customer’s product, or who have discovered it but are still searching. This creates a basis for attributing pipelines, conversions and revenue to the activity.

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“Strategically, our ideal customer profile is a B2B software-as-a-service company,” said Hedenbrandt. “B2B SaaS companies are particularly ripe for understanding this digital customer journey; their main investment is in digital marketing, they have a salesforce that use software tools to do this inside sales model; and they also deliver their product digitally as well.” What’s more, it takes twice as long to close SaaS deal as it does to close deals with B2B commercial and professional services companies.


Read next: A look at the tech review space

The Benchmarks findings. The conclusions of the 2022 Benchmarks report is based on aggregated, anonymized data from more than 400 Dreamdata user accounts. Focusing on first-touch attribution (from their multi-touch model), Dreamdata found that customer journeys where a review site is the first touch are 63% shorter than the average. In contrast, where the first touch channel is social, the journey is much longer than average (217%); it’s the same when paid media is the first touch (155%).

As the Benchmarks report suggests, this may well mean that social is targeting prospects that are just not in-market. It makes sense that activity on a review site is a better predictor of intent.

Hedenbrandt underlines the importance of treating the specific figures with caution. “It’s not complete science what we’ve done,” he admits, “but it’s real data from 400 accounts, so it’s not going to be completely off. You can only spend your time once, and at least from what we can see here it’s better to spend your time collecting reviews than writing another Facebook update.”

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While Dreamdata highlights use of G2, Hedenbrandt readily concedes that competitor software review sites might reasonably be expected to show similar effects. “Definitely I would expect it to be similar.”

Why we care. It’s not news that B2B buyers researching software purchases use review sites and that those sites gather and trade in the intent data generated. Software vendors encourage users to post reviews. There has been a general assumption that a large number of hopefully positive reviews is a good thing to have.

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What Dreamdata’s findings indicate is that the effect of review sites on the buyer journey — especially as the first-touch channel — can be quantified and a value placed on it. “None of us questioned the value of reviews, but during this process you can actually map it into a customer journey where you can see the journey started from G2, then flowed into sales meetings, website visits, ads, etc. Then we can also join the deal value to the intent that started from G2.”

Likely, this is also another example of B2B learning from B2C. People looking at high consideration B2C purchases are now accustomed to seeking advice both from friends and from online reviews. The same goes for SaaS purchases, Hedenbrandt suggests: “More people are turning to sites like G2 to understand whether this is a trustworthy vendor or not. The more expensive it is, the more validation you want to see.”

About The Author


Kim Davis is the Editorial Director of MarTech. Born in London, but a New Yorker for over two decades, Kim started covering enterprise software ten years ago. His experience encompasses SaaS for the enterprise, digital- ad data-driven urban planning, and applications of SaaS, digital technology, and data in the marketing space.

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He first wrote about marketing technology as editor of Haymarket’s The Hub, a dedicated marketing tech website, which subsequently became a channel on the established direct marketing brand DMN. Kim joined DMN proper in 2016, as a senior editor, becoming Executive Editor, then Editor-in-Chief a position he held until January 2020.

Prior to working in tech journalism, Kim was Associate Editor at a New York Times hyper-local news site, The Local: East Village, and has previously worked as an editor of an academic publication, and as a music journalist. He has written hundreds of New York restaurant reviews for a personal blog, and has been an occasional guest contributor to Eater.

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