M
Maurice Gonzenbach
2
APPEARANCES
2
PODCASTS
012
DEC 30
JAN 6
JAN 13
JAN 20
JAN 27
FEB 3
FEB 10
FEB 17
FEB 24
MAR 3
MAR 10
MAR 17
MAR 24
MAR 31
APR 7
APR 14
APR 21
APR 28
MAY 5
MAY 12
MAY 19
MAY 26
JUN 2
JUN 9
JUN 16
JUN 23
JUN 30
JUL 7
JUL 14
JUL 21
JUL 28
AUG 4
AUG 11
AUG 18
AUG 25
SEP 1
SEP 8
SEP 15
SEP 22
SEP 29
OCT 6
OCT 13
OCT 20
OCT 27
NOV 3
NOV 10
NOV 17
NOV 24
DEC 1
DEC 8
DEC 15
DEC 22
DEC 29
JAN 5
JAN 12
JAN 19
JAN 26
FEB 2
FEB 9
FEB 16
FEB 23
MAR 2
MAR 9
MAR 16
MAR 23
MAR 30
APR 6
APR 13
APR 20
APR 27
MAY 4
MAY 11
MAY 18
MAY 25
JUN 1
JUN 8
JUN 15
JUN 22
JUN 29
JUL 6
JUL 13
JUL 20
JUL 27
AUG 3
AUG 10
AUG 17
AUG 24
AUG 31
SEP 7
SEP 14
SEP 21
SEP 28
OCT 5
OCT 12
OCT 19
OCT 26
NOV 2
NOV 9
Oct 21, 2026
Episode 16: Maurice Gonzenbach, Caplena
9:03
11:25

Mike StevensHOST
What else would you say is a reason to use Complainer rather than a base language model?
M
9:10Maurice GonzenbachGUEST
In the end, it's a bit of function of the maturity of the company and how professional their CX market research departments operate.
M
9:18Maurice GonzenbachGUEST
Maybe making a comparison, right? If you're a five-person business, then having Excel as your accounting tool is perfectly fine, right? And you are probably good with Excel.
M
9:27Maurice GonzenbachGUEST
If you're a 50, 100-person company, I sincerely hope that you don't do your payroll with Excel just because of all the built-in error checking, all the built-in processes, the system of record that you have in there.
M
9:39Maurice GonzenbachGUEST
And I think it's very similar to these kind of insights and research tools and Kaplana in specific.
M
9:45Maurice GonzenbachGUEST
If you have, let's say, if you do more than three or four of these ad hoc studies a year and you want to have comparability over the years, or if you have a CX tracker where you collect maybe more than, I don't know, 5,000 data points a year then at some point you do want to have these these tools and this quality assurance because you do invest money in the collection and you bother your clients in asking them so you actually want to be sure that what you're taking out of that data also is reliable and i think the second component is also the making it accessible to the wider organization right so i think claude is amazing if you for these quick ad hoc one-off reports right we use it all the time for these things But if you want to have a system of record that others can ping interactively, that you make accessible to functions like marketing or the management, then you want to have quite specific reliability, process quality assurance, again, ways of people having access to that and maybe being able to ping it from within Teams or Slack, and that you can be sure that what it answers is actually based on a solid analysis that you as a professional approved.
M
10:53Maurice GonzenbachGUEST
I think that's maybe sort of giving an idea of where the strengths of both systems lie.

Mike StevensHOST
How do you see the research and insights industry evolving over the next two or three years? What are some of the trends there?
Are AI Agents Replacing Dashboards? The Future of Sharing Customer Insights with Maurice Gonzenbach
4:37
10:14

Gregorio UglioniHOST
Do you think that they will replace? How we get feedback? How we analyze the feedback? How we understand the feedback? What's your view on that?
M
5:07Maurice GonzenbachGUEST
I think everyone is aware of this problem, right? 60 to 80% of all dashboards are not or hardly used.
5 MINS LATER

Gregorio UglioniHOST
How are you as Kaplina helping company really understand the data in the right way?