1
00:00:00,400 --> 00:00:04,400
The Better Business Analysis 
Institute presence, the Better 

2
00:00:04,400 --> 00:00:07,760
Business Analysis Podcast with 
Benjamin Walsh. 

3
00:00:12,400 --> 00:00:15,480
Hi everybody, and welcome back 
to the Better Business Analysis 

4
00:00:15,480 --> 00:00:19,240
podcast with Benjamin Walsh, 
proudly brought to you by the 

5
00:00:19,240 --> 00:00:22,160
Better Business Analysis 
Institute. 

6
00:00:22,440 --> 00:00:27,000
And we're going to be continuing
along our BA Byte series, their 

7
00:00:27,000 --> 00:00:32,880
short summary points for BAS. 
And this week we are going to be

8
00:00:32,880 --> 00:00:39,560
talking about the evolution of 
BA in the context of AI. 

9
00:00:40,920 --> 00:00:44,920
That's right. 
AI will change the role of BA. 

10
00:00:46,360 --> 00:00:50,520
It will also change the role of 
lots of businesses and a lot of 

11
00:00:50,520 --> 00:00:55,320
different roles in the future. 
Last week, I was lucky enough to

12
00:00:55,320 --> 00:01:02,440
be interviewed about this with 
another panel of BAS, and I'll 

13
00:01:02,440 --> 00:01:07,640
be sharing that soon on LinkedIn
and you can have a listen. 

14
00:01:08,600 --> 00:01:11,960
But really, we were talking 
about how emerging technologies 

15
00:01:11,960 --> 00:01:19,400
like AI, things like Digital 
twin, things like XR are going 

16
00:01:19,400 --> 00:01:23,520
to change and evolve business 
analysis in the future. 

17
00:01:23,760 --> 00:01:26,320
And I want to take one of those 
areas, which is AI. 

18
00:01:26,520 --> 00:01:29,480
And I want to talk about some of
the summary points about how 

19
00:01:29,480 --> 00:01:31,440
that's going to change your job 
as ABA. 

20
00:01:31,680 --> 00:01:35,240
We have done a whole episode on 
this, but I want to get straight

21
00:01:35,240 --> 00:01:40,200
to the point for you as part of 
this BA bites about some actions

22
00:01:40,200 --> 00:01:45,120
that you can take right now. 
So the AI is a huge field. 

23
00:01:45,280 --> 00:01:51,040
However, generative AI, the 
ability to generate output based

24
00:01:51,040 --> 00:01:54,960
on natural language, the 
language we speak, has really 

25
00:01:54,960 --> 00:01:59,000
changed the world of AI 
accessibility. 

26
00:01:59,320 --> 00:02:02,520
And you as ABA need to start 
using these tools. 

27
00:02:02,840 --> 00:02:08,639
So in order for you to generate 
your specifications, fill in 

28
00:02:08,639 --> 00:02:13,480
templates to summarize meeting 
notes, in order for you to 

29
00:02:13,480 --> 00:02:17,920
consolidate feedback, in order 
for you to be clearer and 

30
00:02:17,920 --> 00:02:21,560
concise, I suggest that you use 
these tools today. 

31
00:02:22,240 --> 00:02:26,600
When I say use these tools, try 
and use a private version like a

32
00:02:26,600 --> 00:02:30,760
paid version where your data is 
not shared outside of your 

33
00:02:32,000 --> 00:02:35,760
organization. 
And so you can use tools like 

34
00:02:35,760 --> 00:02:41,200
copilot and private mode to do 
that paid check GBT or you can 

35
00:02:41,200 --> 00:02:44,960
use Gemini as long as you have a
subscription there. 

36
00:02:45,560 --> 00:02:49,280
You can use all of those tools 
for free if you generalize what 

37
00:02:49,280 --> 00:02:52,240
you're trying to achieve. 
But I do not feed any sensitive 

38
00:02:52,240 --> 00:02:54,640
information from your 
organization into these tools. 

39
00:02:54,920 --> 00:02:58,160
Just that's a top tip. 
Okay, so you can generate 

40
00:02:58,160 --> 00:03:00,280
documents, do all those things 
that I've just said. 

41
00:03:00,520 --> 00:03:02,440
I want you to start doing that 
today. 

42
00:03:02,640 --> 00:03:06,440
Start seeing how you can use 
prompt engineering. 

43
00:03:06,440 --> 00:03:10,640
So the ability to multi prompt 
through these tools to get the 

44
00:03:10,640 --> 00:03:13,520
up pump what you want and 
continuously sending back 

45
00:03:13,520 --> 00:03:19,240
information in a chat cycle so 
that it remembers what you've 

46
00:03:19,240 --> 00:03:21,360
already written and asked 
beforehand. 

47
00:03:21,600 --> 00:03:23,360
And so you want to give it as 
much context. 

48
00:03:23,360 --> 00:03:27,200
And as you do that, you're 
actually learning how to do 

49
00:03:27,200 --> 00:03:30,480
prompt engineering properly. 
You can see what the responses 

50
00:03:30,480 --> 00:03:34,640
are, where you need to tweak 
your answers and there's an art 

51
00:03:34,640 --> 00:03:37,440
to it. 
And B, as will need will most 

52
00:03:37,440 --> 00:03:40,400
likely be coaching the 
organization in terms of how to 

53
00:03:40,400 --> 00:03:44,320
use these tools effectively. 
And you should get started on 

54
00:03:44,320 --> 00:03:46,960
that today. 
Now, what does that mean for 

55
00:03:46,960 --> 00:03:49,000
your role? 
Well, it means that if you can 

56
00:03:49,000 --> 00:03:52,840
generate a lot of documents and 
to be honest, you can probably 

57
00:03:52,840 --> 00:03:57,280
generate code and mock ups using
these tools in the development 

58
00:03:57,360 --> 00:04:02,120
delivery space. 
There may be less need to do 

59
00:04:02,120 --> 00:04:06,480
some of the traditional roles in
an agile development team or in 

60
00:04:06,480 --> 00:04:11,240
ABA role where you're writing 
detailed business role kind of 

61
00:04:11,240 --> 00:04:13,120
requirements or functional 
requirements. 

62
00:04:13,440 --> 00:04:16,560
There may be less of a need to 
for you to do some of the 

63
00:04:17,680 --> 00:04:20,959
documentation and ground work. 
And as a result, you may need to

64
00:04:20,959 --> 00:04:23,120
step up. 
And this talks to the point 

65
00:04:23,120 --> 00:04:28,320
around really looking more at 
the pre project work and the 

66
00:04:28,320 --> 00:04:30,720
high level requirements phase in
your role. 

67
00:04:30,920 --> 00:04:33,080
So if you are not comfortable 
with doing high level 

68
00:04:33,080 --> 00:04:37,280
requirements and epic level 
requirements, then I suggest 

69
00:04:37,280 --> 00:04:40,920
that you also take the action to
get clearer on that and then 

70
00:04:40,920 --> 00:04:44,160
learn how to use those big 
requirements and break them down

71
00:04:44,360 --> 00:04:48,080
in terms of prompts that you can
feed into an AI tool. 

72
00:04:48,480 --> 00:04:53,040
So I'm not saying that's going 
to replace those jobs that 

73
00:04:53,040 --> 00:04:56,080
happen down in detail 
requirements with delivery, but 

74
00:04:56,080 --> 00:04:59,800
these tools will make it easier.
And I would say that in two to 

75
00:04:59,800 --> 00:05:05,720
five years, those steps from 
detail requirements down will be

76
00:05:05,720 --> 00:05:09,040
completely different and will be
much more automated to what you 

77
00:05:09,040 --> 00:05:11,040
do today. 
So that's your BA bite. 

78
00:05:11,040 --> 00:05:14,800
Your BA bite is to learn 
generative AI, start using these

79
00:05:14,800 --> 00:05:17,960
tools, starts using it to 
consolidate your work. 

80
00:05:18,240 --> 00:05:21,760
You're still following all the 
processes that you need to do in

81
00:05:21,760 --> 00:05:25,880
business analysis 5 wise 
requirements analysis, 

82
00:05:25,880 --> 00:05:28,640
workshopping all those skills. 
But your soft skills will be 

83
00:05:28,640 --> 00:05:33,520
more important and how you do 
the hard skills will become much

84
00:05:33,520 --> 00:05:37,280
more automated and streamlined. 
See you next week.

