Awesome
<div align="center"> <!-- Generated by Flux: https://flux-ai.io/flux-ai/1853783177635409921/ Proompt: Immerse yourself in a vibrant retro-inspired 8-bit pixel art game intro screen, presented in landscape orientation. The scene bursts with dynamic energy at sunrise. showcase an exciting, animated positive trend analytics graph emphasises upward trajectory up and to the right! An eye-catching extra-large title text: "Learn Analytics" dominates the screen in bold orange, blue, and green hues, drawing viewers in. invites players to dive into the world of data and analytics. -->Understand Analytics
so you can build a better product/service
through data-driven decision-making.
Why? š
While most companies/organizations
have Analytics
for their
website and/or app,
many do not use the data
to inform their decisions.
Our extensive experience with 100+ clients
over 10 years running a web/app development agency,
working in several startups and advising many more,
is that people are not naturally data-driven.
Even the larger enterprises with a data team
do not pay enough attention to insights.
The most successful companies/organizations listen to the data and take action.
Note: we don't advocate dogmatically following data and ignoring what people say/think. We favour a blended approach that is guided by data and humans with empathy for the people using the product/service.
Who? š„
This guide is for busy people
who don't have time
to read a whole
book
on Analytics
;
of which there are many good ones
we have read and can recommend. š
Cui Bono? (Who Benefits?)
All members of the organization benefit
from being aware of the Analytics
because it gives realtime insight
into the product usage.
A short list to guide your thinking:
- Product Owners/Managers who need to understand how people are using their product/service.
- Founders/Entrepreneurs seeking clarity on usage and friction points.
- Executives needing stats to inform their decisions.
- Developers/Engineers needing to know which features are used or not.
- Customer Service needing to know where people are getting stuck when using the product/service.
What? š
A complete beginner's guide
to Open Source Analytics
that anyone can follow
regardless of statistical knowledge
or industry experience.
So What? š¤·āāļø
Knowing exactly how people are using
your digital product/service or website
is the difference between success and failure.
We cannot say definitively why
65% of businesses fail ...
but we know one thing for sure:
highly successful companies like Google
, Amazon
are hyper focussed on their Analytics
.
All the executives, product owners and builders know exactly
which
OKR
they are focussing on and exclude everything else.
Counterpoint: we cannot rule-out
confirmation
or
survivorship
bias, meaning we may ignore companies that failed
while being somewhat data-driven.
e.g: the businesses that failed also listened to data
,
just the
wrong data
.
š
When? ā³
Get started today
in less than 5 minutes
by speed reading part 2 of this guide. <br />
Then decide how far you want to take your Analytics
journey.
How? š©āš»
This repo is divided into 3 parts:
- Deploy: deploy
Plausible Analytics
"Community Edition" on your chosen infrastructure; in our caseDigitalOcean
.Note: the instructions use
Docker
so any competentDevOps
person can deploy it in~20mins
on any Cloud provider (e.g:AWS
,Azure
,Google Cloud
, etc.) by following the detailed step-by-step instructions. - Navigate: a guided tour of the
Analytics
interface to understand everything that we can learn from it. - Take Action: Sample actions that can be taken
based on the insights we learn from our
Analytics
.
Any Plausible
-related information can be found in the
plausible
folder,
where you can get quickly get started on setting up a Plausible CE
instance
and a Next.js
website,
both on localhost
.
You'll also learn how to deploy Plausible
to DigitalOcean
!