In the beginning stages of the our team at a former employer (large fintech company) we had a clear mandate from Execs about what to build….but the team was skeptical. We devised a crude way to validate assumptions based on the Lean Methodology. Overtime this evolved into the EDD process.
Video of presentation here: https://goo.gl/Hg2c4q
5. Make decisions
with data
Use data where you have it and
identify your assumptions
Measure the return on investment
for what you are building
Run experiments to turn
assumptions into foundations
EDD VISION
20. Defining Product/Feature in Terms of ROI
EDD Score
EDD Product
Description:
Overview of the
product idea.
Similar to an exec
summary.
Score
Spreadsheet for
calculating ROI of
a product
EDD Roadmap:
Includes all
activities needed
to build and ship
the product.
21. Relative indicator of ROI for a feature/product over the long term
in $/effort.
Relies on assumptions so not perfect or precise. Used as metric
to compare initiatives side by side.
Way to prioritize by generating a value that can be used to rank
features.
What is an EDD Score?
22. 6 Metrics to calc. EDD Score
Impact Per User
Customer Acquisition
Cost
Churn Rate
Cost to Serve Months to ReleaseCost to Build
23. Start Small
Calculating the EDD score
doesn’t have to take a lot of
time, invest only enough to
make the next decision.
Do the Very Simple exercise
If there is enough yield there, do the
Simple and/or Moderate exercises
Do the Detailed exercise to fully
comprehend the project compared to
other initiatives
25. Simple - 10 minCritical Numbers
Impact per user (monthly) $13.00
Customer Acquisition Cost $0.00
Staff needed 7
Months of development before release 6
Churn rate (monthly) 2.0%
Cost to serve (monthly) $2.00
Customers in Year 3 300
EDD Score 34
7 critical numbers
Estimate when no data is available
26. Moderate - 30 min+
Consider the customer growth
Apply an attach rate for each year
to the user numbers
Will attach change over time?
Will critical numbers change over
time?
Critical Numbers
Impact per user $13.00
Customer Acquisition Cost $0.00
Churn rate (monthly) 2.00%
Cost to serve $4.00
Cost to build $697,200
Months of development before release 6
Customers
Customers in Year 1 9
Customers in Year 2 60
Customers in Year 3 300
Customers in Year 4 1,200
Customers in Year 5 4,800
Customers in Year 6 14,400
Customers in Year 7 43,200
Customers in Year 8 129,600
Customers in Year 9 129,600
Customers in Year 10 129,600
EDD Score 34
27. Name of Product Score
Product A 533
Product B 483
Feature A 160
Feature B 150
Product D 118
Product E 37
Compare Scores
30. Turning Your Gut Feel into Data
EDD ROADMAP
Product
Description
Overview of the
product idea.
Similar to an exec
summary.
Score
Spreadsheet for
calculating ROI of
a product
Roadmap
Includes all
activities needed
to build and ship
the product.
31. With the EDD score sheet and
product description complete,
build your case.
Create experiments for each
metric
Scope each experiment
Do the ones with the best yield
first
Product Experiment Roadmap
Gaining confidence in the numbers you have placed in your EDD Score
32. Validating your assumptions
Hypothesis Experiment Results Conclusions
Target your metrics
Document &
discuss your
findings
Confirm/change your
assumptions. Publish
findings.
Create and run
experiments
33. Start with your gut, decide with data
Hypothesis Experiment Results
Users will value and
pay for a bookkeeper
on demand.
Ask 50 customers,
bookkeepers and
partners if they would
be willing to pay for
this service.
27 of 50 respondents
said they would be
willing to pay for online
support from a
bookkeeper for up to
60 minutes.
Conclusions
Now that we know a
realistic attach rate, we
can better calculate the
ROI on this effort.
34. Anatomy of an experiment
What is <our cost to build, revenue per user, etc.>
We will <describe experiment>
Then we will see if <Hypothesis>
We believe <Predict Result>
This means … and we can be more / less confident
in our critical question
Critical Question
Experiment
Observe
Hypothesize
Result
35. Experiment Definition
1. What we will do
to conduct the
experiment.
2. The data that we
will gather and how
we will analyze it.
3. What we expect
the data to show.
4. How we will interpret
the data if it is what we
expect.
"We will....." "Then we will see if…” "we believe...." "and this means...." + "...so we
can be more confident <critical
question>
36. 1. We will
research
competitors Ys
pricing offering
for feature X
2. Then we will see if
our planned pricing
is less expensive.
3. We believe our
planned pricing is less
than theirs...
4. and this means that
customers will pay $1 per
for transaction so we can
be more confident in our
monthly revenue per user
critical number.
Experiment Definition
4 key sections
37. Certainty
Hours
Lag
Total Cost
Cost of Certainty
Pricing/costing experiments
Units
1 - 10
Hours
Days
Hours * $100 + Days * $1,000
Total Cost / Certainty
41. Document, Debate,
Share
Results - What was the data you
generated?
Experiment Quality - Did you
gain any useful data?
Budget - Did it take you as long
as you expected?
Confidence Increase - Did your
confidence go up? How much?
Share the results on company
intranet if interesting or insightful
Did the model change?