Translating Analysisto Insights

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First, a familiar story...

Conveying analysis is rarely straightforward

Too many charts and data points are confusing

Explaining your method in detail often loses your

audience

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Effectively Communicating Insights from Analysis is as Important as the Results

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Agenda My background MAPP Framework An Example Conclusion

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A little about me…

Currently an Insights Analyst for DataScience

Background in market research / data

analysis

Review all analysis findings prior to being

delivered to the customer

Conduct analysis using SQL/Python, create relevant visualizations, and deliver

to the customer

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MAPP Guidelines

MindsetSwitch from

analyst mindset to

communicator

mindset

AudienceThink about your audience

Identify 1-3 main points from your analysis to communicate

Points of Relevance ProofM A P P

Determine how much detail of your method needs to be shared.

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Analyst Mindset → Communicator Mindset

Moving from detailed thinking to big picture thinking.

What findings from this analysis can make an impact on the business?

Think about what you discovered and how you know this is true

1 2 3

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Who is your audience? Think about who you’re

communicating with What role are they within

the company? What goals are important to

them? Why would this person be

interestedin your analysis?

Frame insights based on user’s perspective and interests

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Identify 1-3 Main Points to Highlight

Relevant to the recipient

Use clear visuals

Non-technicalSimple and comprehensible

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Identify Proof RequiredLess is often more → don’t walk through your analysis roadmap

Make relevant to the recipient

Generally, use technical terminology sparingly

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Walking Through an ExampleFrom this preliminary analysis, we can draw the following conclusions:

The mean ranges from 80 days to 110 days for the oldest cohorts.

Most cohorts, even the older ones, have recovered at least 80% of users who have made a purchase to date by six months; by a year, this climbs to 90% for most cohorts.

A small number of registered users from older cohorts are making a first purchase more than a year after registration.

The majority of buyers purchase on the same day of registration.

After a year, approximately 4% to 7% (depending on the quarterly cohort) of registered users for that cohort have made a purchase.

From this preliminary analysis, we can conclude that:

For older groups of buyers, the average number of days to purchase ranges from 80 to 110.

Most buyers purchase on the same day of registration.

The average number of days to buy is slightly longer than average number of days to list.

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In Conclusion Think MAPP!

Focus on the big picture Think about the user perspective

& company’s business goals Boil it down to a few key insights Consider level of proof required

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Thank you!.