Eventually a speaker will be faced with the prospect of presenting a great deal of information to an audience. As a speaker, have you been anxious to deliver a talk loaded with facts and figures, concerned you may lose their interest? Alternatively, have you been overwhelmed by presentations loaded with facts with no end in sight? Incorporate the Switch-Estimate-Blend technique to add variety interest plus much needed space between streams of detail.

1. Susanne Petersson
@SusannePresents

2. Susanne Petersson 2
Our Pr_s_nt[tionsOur Pr_s_nt[tionsOur Pr_s_nt[tionsOur Pr_s_nt[tions
are overwhelming our
Audiences

3. Susanne Petersson 3
Our Pr_s_nt[tionsOur Pr_s_nt[tionsOur Pr_s_nt[tionsOur Pr_s_nt[tions
are inundating
Audiences
with Facts and Figures

4. Susanne Petersson 4
To @voi^ thisTo @voi^ thisTo @voi^ thisTo @voi^ this
Pr_s_nt[tionPr_s_nt[tionPr_s_nt[tionPr_s_nt[tion
tr[ptr[ptr[ptr[p …………

5. Susanne Petersson 5
P_rio^i][llyP_rio^i][llyP_rio^i][llyP_rio^i][lly
R_f_r_n]_ [R_f_r_n]_ [R_f_r_n]_ [R_f_r_n]_ [
St[tisti]St[tisti]St[tisti]St[tisti] …………

6. Susanne Petersson 6
uuuusing on_ of th_s_sing on_ of th_s_sing on_ of th_s_sing on_ of th_s_
T_]hniqu_sT_]hniqu_sT_]hniqu_sT_]hniqu_s

7. Susanne Petersson 7
T_]hniqu_sT_]hniqu_sT_]hniqu_sT_]hniqu_s
1.1.1.1. Switch termsSwitch termsSwitch termsSwitch terms
2.2.2.2. Estimate termsEstimate termsEstimate termsEstimate terms
3.3.3.3. Blend termsBlend termsBlend termsBlend terms

8. Susanne Petersson 8
Consi^_rConsi^_rConsi^_rConsi^_r
]ommon forms]ommon forms]ommon forms]ommon forms
ofofofof
M_[sur_m_ntM_[sur_m_ntM_[sur_m_ntM_[sur_m_nt

9. Susanne Petersson 9
Common M_[sur_m_ntsCommon M_[sur_m_ntsCommon M_[sur_m_ntsCommon M_[sur_m_nts
DistanceDistanceDistanceDistance: miles & kilometers
Time
TemperatureTemperatureTemperatureTemperature: Fahrenheit & Celsius
Partials

10. Susanne Petersson 10
Common M_[sur_m_ntsCommon M_[sur_m_ntsCommon M_[sur_m_ntsCommon M_[sur_m_nts
Distance
TimeTimeTimeTime: hours, years, centuries
Temperature
PartialsPartialsPartialsPartials: fractions & percentages

11. Susanne Petersson 11
S_v_r[l OptionsS_v_r[l OptionsS_v_r[l OptionsS_v_r[l Options
[r_[r_[r_[r_
[v[il[l_[v[il[l_[v[il[l_[v[il[l_ !!!!

12. Susanne Petersson 12
H_r_ [r_ Ex[mpl_sH_r_ [r_ Ex[mpl_sH_r_ [r_ Ex[mpl_sH_r_ [r_ Ex[mpl_s

13. Susanne Petersson 13
Our firstOur firstOur firstOur first
T_]hniqu_T_]hniqu_T_]hniqu_T_]hniqu_

14. Susanne Petersson 14
1111.... Swit]hSwit]hSwit]hSwit]h

15. Susanne Petersson 15
1. Swit]h1. Swit]h1. Swit]h1. Swit]h
Periodically alternate measurement
systems
One of the terms remains primary

16. Susanne Petersson 16
1. Swit]h Ex[mpl_1. Swit]h Ex[mpl_1. Swit]h Ex[mpl_1. Swit]h Ex[mpl_
“The building is 1451 feet tall!”
---- B_]om_sB_]om_sB_]om_sB_]om_s ----
“The building is 442 meters tall!”

17. Susanne Petersson 17
1. Swit]h T_]hniqu_1. Swit]h T_]hniqu_1. Swit]h T_]hniqu_1. Swit]h T_]hniqu_
One of the terms remains primary
throughout your presentation
The secondary measurement is used to
reduce redundancy

18. Susanne Petersson 18
Our n_xtOur n_xtOur n_xtOur n_xt
T_]hniqu_T_]hniqu_T_]hniqu_T_]hniqu_

19. Susanne Petersson 19
2.2.2.2. Estim[t_Estim[t_Estim[t_Estim[t_

20. Susanne Petersson 20
2. Estim[t_2. Estim[t_2. Estim[t_2. Estim[t_
Periodically remove the details of a
measurement
Estimating often demotes the point

21. Susanne Petersson 21
2. Estim[t_ Ex[mpl_2. Estim[t_ Ex[mpl_2. Estim[t_ Ex[mpl_2. Estim[t_ Ex[mpl_
“The building was completed in 1918”
---- _]om_s_]om_s_]om_s_]om_s ----
“The building is about 100 years old”

22. Susanne Petersson 22
2. Estim[t_ Ex[mpl_2. Estim[t_ Ex[mpl_2. Estim[t_ Ex[mpl_2. Estim[t_ Ex[mpl_
“The building was under construction from
1914 to 1918”
---- _]om_s_]om_s_]om_s_]om_s ----
“The building was completed during the
early part of the 20th century”

23. Susanne Petersson 23
2. Estim[t_ T_]hniqu_2. Estim[t_ T_]hniqu_2. Estim[t_ T_]hniqu_2. Estim[t_ T_]hniqu_
Use estimations as often as you feel is
appropriate for the topic
The lack of detail places the point as
secondary

24. Susanne Petersson 24
Our fin[lOur fin[lOur fin[lOur fin[l
T_]hniqu_T_]hniqu_T_]hniqu_T_]hniqu_

25. Susanne Petersson 25
3.3.3.3. Bl_n^Bl_n^Bl_n^Bl_n^

26. Susanne Petersson 26
3. Bl_n^3. Bl_n^3. Bl_n^3. Bl_n^
Periodically associate 2 similar
measurement systems
It is possible to string a maximum of 3
references

27. Susanne Petersson 27
3. Bl_n^ Ex[mpl_3. Bl_n^ Ex[mpl_3. Bl_n^ Ex[mpl_3. Bl_n^ Ex[mpl_
“The temperature is expected to reach 86
degrees!”
---- _]om_s_]om_s_]om_s_]om_s ----
“The temperature is expected to reach 86
degrees – 30 degrees Celsius!”

28. Susanne Petersson 28
3. Bl_n^ T_]hniqu_3. Bl_n^ T_]hniqu_3. Bl_n^ T_]hniqu_3. Bl_n^ T_]hniqu_
One of the measurements remains
primary throughout your presentation
Each additional reference increases the
impact of your point

29. Susanne Petersson 29
3. Tripl_ Bl_n^ Ex[mpl_3. Tripl_ Bl_n^ Ex[mpl_3. Tripl_ Bl_n^ Ex[mpl_3. Tripl_ Bl_n^ Ex[mpl_
“This Neoclassical building was completed
in 1918 – nearly a century ago !”
---- [ soft, y_t Eff_]tiv_, [ppro[]h to[ soft, y_t Eff_]tiv_, [ppro[]h to[ soft, y_t Eff_]tiv_, [ppro[]h to[ soft, y_t Eff_]tiv_, [ppro[]h to
El_v[t_ this pointEl_v[t_ this pointEl_v[t_ this pointEl_v[t_ this point ––––

30. Susanne Petersson 30
3. Tripl_ Bl_n^ Ex[mpl_3. Tripl_ Bl_n^ Ex[mpl_3. Tripl_ Bl_n^ Ex[mpl_3. Tripl_ Bl_n^ Ex[mpl_
“The building is 1451 feet – 442 meters tall
– a total of 100 stories!”
---- [ torr_nt of[ torr_nt of[ torr_nt of[ torr_nt of
^_t[ils, must _ [^_t[ils, must _ [^_t[ils, must _ [^_t[ils, must _ [
k_y pointk_y pointk_y pointk_y point!!!! ––––

31. Susanne Petersson 31
Us_ T_]hniqu_sUs_ T_]hniqu_sUs_ T_]hniqu_sUs_ T_]hniqu_s
1.1.1.1. Switch termsSwitch termsSwitch termsSwitch terms
2.2.2.2. Estimate termsEstimate termsEstimate termsEstimate terms
3.3.3.3. Blend termsBlend termsBlend termsBlend terms

32. Susanne Petersson 32
………… [n^[n^[n^[n^ VoilàVoilàVoilàVoilà !!!!

33. Susanne Petersson 33
Why us_ th_s_Why us_ th_s_Why us_ th_s_Why us_ th_s_
T_]hniqu_sT_]hniqu_sT_]hniqu_sT_]hniqu_s ????

34. Susanne Petersson 34
To _To _To _To _
In]lusiv_In]lusiv_In]lusiv_In]lusiv_ !!!!

35. Susanne Petersson 35
@]knowl_^g_s Div_rsity@]knowl_^g_s Div_rsity@]knowl_^g_s Div_rsity@]knowl_^g_s Div_rsity
We live in an increasingly
connected and diverse
world

36. Susanne Petersson 36
Intro^u]_s V[ri_tyIntro^u]_s V[ri_tyIntro^u]_s V[ri_tyIntro^u]_s V[ri_ty
Take advantage of multiple
ways to express the same
concept

37. Susanne Petersson 37
Buil^s F[mili[rityBuil^s F[mili[rityBuil^s F[mili[rityBuil^s F[mili[rity
People remember facts
based on terms familiar to
them

38. Susanne Petersson 38
To soun^To soun^To soun^To soun^
l_ss lik_ [l_ss lik_ [l_ss lik_ [l_ss lik_ [
Di]tion[ryDi]tion[ryDi]tion[ryDi]tion[ry !!!!

39. Susanne Petersson 39
Hol^s @tt_ntionHol^s @tt_ntionHol^s @tt_ntionHol^s @tt_ntion
Reduces audience tendency
to ‘multi-task’ with other
interests

40. Susanne Petersson 40
Cr_[t_s [ FlowCr_[t_s [ FlowCr_[t_s [ FlowCr_[t_s [ Flow
Separates and emphasizes
groupings of detailed
information

41. Susanne Petersson 41
M[int[ins Int_r_stM[int[ins Int_r_stM[int[ins Int_r_stM[int[ins Int_r_st
Re-engages the audience,
increasing
attention span

42. Susanne Petersson 42
K__p YourK__p YourK__p YourK__p Your
@u^i_n]_s@u^i_n]_s@u^i_n]_s@u^i_n]_s
Eng[g_^Eng[g_^Eng[g_^Eng[g_^ !!!!

43. Susanne Petersson 43
Consi^_r In]orpor[tingConsi^_r In]orpor[tingConsi^_r In]orpor[tingConsi^_r In]orpor[ting
Swit]hSwit]hSwit]hSwit]h
Estim[t_Estim[t_Estim[t_Estim[t_
Bl_n^Bl_n^Bl_n^Bl_n^
th_ n_xt tim_ you Pr_s_ntth_ n_xt tim_ you Pr_s_ntth_ n_xt tim_ you Pr_s_ntth_ n_xt tim_ you Pr_s_nt !!!!

44. Susanne Petersson 44
My B[]kgroun^My B[]kgroun^My B[]kgroun^My B[]kgroun^
I present highly informational programs.
Realizing how easy one can inundate their
audience with details, I employed
Swit]h – Estim[t_ – Bl_n^
and noticed that
Audience engagement increased !

45. Susanne Petersson
@SusannePresentsThank you!