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Giving technical presentations
Material prepared by Mike K Smith
Inspiration (blogs)
Presentations:
• Nancy Duarte: Duarte blog
• Garr Reynolds: Presentation Zen
• Chris Atherton: Finite Attention Span
There are 300 million
PowerPoint users in the
world*
Death by Powerpoint
* Estimate
There are 30 million
presentations every day*
Death by Powerpoint
* Estimate
About a million presentations
happening right now*
* Estimate
Death by Powerpoint
50% of them are
unbearable.*
* Conservative estimate
Death by Powerpoint
Think of a presentation that has
made an impression on you.
Q: What is it about that
presentation that made it stick in
your mind?
PREPARATION!!
Preparing effective
presentations takes time.
Your presentation is about
marketing…
Your work / YOU as a brand.
Your organisation.
Your project team.
WHY are you presenting?
WHO is your audience?
WHAT do THEY
want to know?
Peer Review
vs.
Decision Making
Peer Review
You want:
– Input and technical review
– Validation of your work
– New ideas for future work
– Recognition for good work / increased
visibility.
Peer Review
The audience wants:
– New ideas
– Solutions for their problems
– Recognition for THEIR work / increased
visibility!
Decision Making
The audience wants:
– To make a decision based on best
available information.
– A clear recommendation.
– Impact of making the wrong decision.
– Confidence that the technical information
is valid / applicable etc.
Decision Making
You want:
– Your technical input to influence the
decision.
– Credibility with decision makers
– Recognition for your work / increased
visibility.
Attention!
“Your brain is lazy, shallow
and easily distracted…”
Chris Atherton
Ooh,
look...
A hypertext
link!
http://www.slideshare.net/CJAtherton/chris-atherton-at-tcuk09
However, your brain CAN
process two things at once
(even if you‟re male).
http://www.slideshare.net/CJAtherton/chris-atherton-at-tcuk09
Don‟t max out both in
presentations.
http://www.slideshare.net/CJAtherton/chris-atherton-at-tcuk09
5/16/2013 Pharsight and Pfizer Confidential
p
Pain Relief, P(Y=1), and Recurrence, P(T>t), models
Model parameters are estimated using nonlinear mixed effects model
analysis (NONMEM V)
• Pain Relief Model
– Logit transformation
– Placebo model
– Drug model
– Effect site concentration
– Subject specific random effect
• Recurrence Model
– Hazard model
• Likelihood
Yedp +)(Cf+t)f=)}Yg{P( (1
)-e(Atrialbase)-e(A(t)f dosendttt
p


)(-k
dose2pl,
-k
pl
2pl
nd
pl
11+= 
)()(
)(
tCpekeotCe
CeslCef
tkeo
n
d



),0(~ 2
 N
(u)du)(-=S(t)=t)>P(T
t
0
exp
)}1({)log(  YPghzhz(t) si
))1/(log(}{ xxxg 
L = P(T,Y| )P( )d = P(T|Y, )P(Y| )P( )d
i=1
N
i=1
N
        
YAWN!
Feels like…
http://www.flickr.com/photos/pauldrabek/1284981253/
http://www.slideshare.net/CJAtherton/chris-atherton-at-tcuk09
Remember!
Insects are all around us
• The cricket is very sensitive to
temperature.
• You can tell the temperature using
crickets.
• Count the number of chirps in 15 seconds
and add forty.
• The resulting number is very close to the
temperature in fahrenheit.
http://www.slideshare.net/CJAtherton/chris-atherton-at-tcuk09
Your brain can read faster
than the presenter can talk.
http://www.flickr.com/photos/26883252@N08/3284112021
Technical Presentations
≠ Read manuscripts
Manuscript structure
• Introduction
•Methods
• Results
• Discussion
• Conclusions
“Skip to the end...”
"Technical presentations
shouldn't be a mystery novel
where you wait to see whodunnit.
Having the conclusion upfront
helps people put the information
that comes next into context". -
Olivia Mitchell
Peer review structure
• Introduction / Motivation
• Premise / Conclusions
• Methods
• Results
• Applicability / Applications
• Discussion, assumptions, caveats, etc.
Decision making structure
• Introduction / Motivation
• Recommendation (Suggested
actions)
• Results (Evidence)
• Discussion, assumptions, caveats, etc.
• Methods
Clear motivation is important.
Why is this important?
Why does it deserve a
presentation?
Why am I giving up my time?
What do you need me to do?
Is this for information?
Do you expect a decision?
Do you want input?
Engagement!
Huh? What was he saying?
Make your message “sticky”.
You CAN engage your audience
on technical stuff without losing
their attention.
Story / Narrative
A sequence of unconnected facts
is hard to hold in your head.
Symphony / Gestalt
What is the “whole”?
AKA The BIG PICTURE
Empathy
Why should we care about making
the right / wrong decision?
Why does <<this>> matter?
Simple language
Conversational.
NOT corporate.
What are the 4-5 things you want
the audience to recall later?
Everything else is backup.
But what about the details?
If you need to share LOTS of
technical info, write a
manuscript (or an executive
summary)
If you show tables / graphs...
Make them legible.
Make them intelligible
Avoid the audience asking:
“What the **** is that picture?”
OR
“Why the **** is that picture there?”
0
10
20
30
40
50
60
70
80
90
1st Qtr 2nd Qtr 3rd Qtr 4th Qtr
East
West
North
Interpret this graph in the next 10 seconds…
0
10
20
30
40
50
60
70
80
90
1st Qtr 2nd Qtr 3rd Qtr 4th Qtr
East
West
North
Is THIS important?
0
10
20
30
40
50
60
70
80
90
1st Qtr 2nd Qtr 3rd Qtr 4th Qtr
East
West
North
Is THIS important?
0
10
20
30
40
50
60
70
80
90
1st Qtr 2nd Qtr 3rd Qtr 4th Qtr
East
West
North
De-emphasise what you don‟t need
Are equations EVER
REALLY necessary?
Keep „em simple.
Highlight the key points.
5/16/2013 Pharsight and Pfizer Confidential
p
Pain Relief, P(Y=1), and Recurrence, P(T>t), models
Model parameters are estimated using nonlinear mixed effects model
analysis (NONMEM V)
• Pain Relief Model
– Logit transformation
– Placebo model
– Drug model
– Effect site concentration
– Subject specific random effect
• Recurrence Model
– Hazard model
• Likelihood
Yedp +)(Cf+t)f=)}Yg{P( (1
)-e(Atrialbase)-e(A(t)f dosendttt
p


)(-k
dose2pl,
-k
pl
2pl
nd
pl
11+= 
)()(
)(
tCpekeotCe
CeslCef
tkeo
n
d



),0(~ 2
 N
(u)du)(-=S(t)=t)>P(T
t
0
exp
)}1({)log(  YPghzhz(t) si
))1/(log(}{ xxxg 
L = P(T,Y| )P( )d = P(T|Y, )P(Y| )P( )d
i=1
N
i=1
N
        
Same for tables of numbers…
Which numbers changed?
By how much?
Why?
HELP the audience
to understand
IN SUMMARY:
Prepare
• Know your audience
• Know why you‟re presenting
• Know what the audience expects
Attention
• Don‟t fire-hose your audience with
information.
• Keep slides simple
• Back up presentation with additional
material (exec summary / manuscript /
blog)
Engage
• How do you want your audience to recall
later?
• Make it as easy as possible to recall…
– Slide format
– Story / gestalt / empathy / simple language
Further reading (blogs)
Presentations:
• Garr Reynolds: Presentation Zen
• Nancy Duarte: Duarte blog
• Chris Atherton: Finite Attention Span
Other:
• Guy Kawasaki: How to change the world
• Seth Godin
• Kathy Sierra: Creating Passionate Users
Backup
AKA: Mike‟s rants about
presentations
Things I hate to hear in
presentations:
(And how it translates to the
audience…)
“Most of you will have heard
this talk before…”
“I‟m going to have to skip ahead,
because time is short…”
[Followed by in-depth discussion
of every bullet point]
“OK, let‟s skip to the
conclusions…”
[Skips fifteen slides]
What you say: “I know this
slide is hard to read…”
This slide intentionally blank
You don‟t have to use the
template
The following templates are
HONESTLY straight from
Powerpoint default templates…
16/05/2013 80
How to communicate bad news
 State the bad news
 Be clear, don’t try to obscure the
situation
16/05/2013
81
Goal and Objective
 State the desired goal
 State the desired objective
 Use multiple points if necessary
Is the slide background hideous?
Avoid “comedy” fonts.
Will your
document
be viewed by
the public?
Should I use the
Comic Sans font?
Don‟t use Comic Sans
NOYES
Are you colour-blind?
Is your audience?
Pie charts are mostly useless
Pie charts are mostly useless
Looks like
Pacman
Does not look
like Pacman
3D charts are even more useless
ABSOLUTELY NO animation.
BTW – what the HECK is that?!
…and WHY is it in my slide?
Keep builds to a minimum.
They‟re distracting.
Really distracting.
And they confuse the presenter.
DO NOT use “random”. EVER.
don‟t use more than one
Whatever you do…
type of effect.

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