The way you analyze data matters, right? With Startquestion ✅ you can easily create a valuable research report using ready-made charts and tables. With our tool you may: 1️⃣ Analyze trends 2️⃣ Summarize the results 3️⃣ Personalize reports 4️⃣ Compare large amounts of data 5️⃣ Drew advanced conclusions 6️⃣ Conduct sentiment analysis And much more. Check it out! See our blog posts to learn more about Startquestion features: https://blog.startquestion.com/

1. Reporting module
Thanks to the advanced data analysis functions of
the Startquestion system, you can easily create a
valuable research report using ready-made charts
and tables.

2. Summary results Cross-tables Trends Rankings Sentiment analysis Text module
Elements of the reporting module

3. Data filtering
- show the answers from last week
- see the results of a specific customer group
- divide the answers by characteristics (women / men)
Comments on the data
- write an introduction to the report
- complete the results with text-based analysis
- add a comment and summary of the study
Data appearance
- add selected answers to the report
- select the data format (table / chart)
- change the chart to column, collective, 100%
- add your own logo and colors to the report
Full report
personalisation
Decide on the appearance and scope of data

4. Generate a report
Creating and editing a report
Distribution of the
report
You can modify your report at any time, filter responses and add new
comments to the report.
You can generate the current
status of the created report at
any time.
Add
modules
Choose
data
presentation
format
Set the data
filter
Add
descriptions
and comments
Report generation process

5. Summary results
In the summary results you will see all survey fillings - both
complete and unfinished. This is a great place to get general
information about how most respondents answered a
particular question.
You can export the results to a selected format:
Basic form of presentation of survey responses
PDF XLSX CSV SPSS

6. Trends
Trends are used to analyze how your results changed over
time. They allow for a clear presentation of answers (including
NPS, assessment type and matrix questions) in three time
dimensions: weekly, monthly and quarterly.
The results are presented on graphically attractive charts and
detailed tables.
Analysis of the distribution of responses from the survey
over time

7. Examples of trends
Observing
employee
satisfaction
over time
Monitoring
effectiveness
of advertising
campaigns
Customer
satisfaction
trend

8. Cross-tables
Thanks to cross-tables you can use the data collected during
the survey to draw new, more advanced conclusions.
Thanks to them you can, among others:
- analyze the relationships between how specific groups of
recipients answered particular questions,
- distinguish the characteristics of the response of a given
group of people,
- to see trends in the responses and recurring trends.
Mutual impact of survey responses

9. Examples of cross-tables
Impact of
employee
benefits on
satisfaction
Relationship
between
Internet
advertising
and TV
Influence
of customer age
on basket size

10. Rankings
By combining answers from different types of questions you
can come to completely new conclusions. This is what rankings
are for - a feature particularly useful when you need to
compare large amounts of data.
With the help of rankings you can also, for example, create a
list of products or services offered by your company and sort
them from the best to the worst rated.
Summary of the ratings of the selected data from the
survey

11. Examples of rankings
Comparison
of a large
amount of
market data
Ranking
of ratings of the
company's
facilities
Ranking
of best-rated
products

12. Sentiment analysis
From customer surveys you will learn what is happening in
your company, but nothing more. To find out what emotions
make a customer evaluate your company in one way and not in
another, you need to delve into open questions or statements
deepened in the surveys.
The question is: how to transform the client's qualitative voice
into quantitative feedback ready for analysis?
The answer is sentiment analysis.
Analysis of emotional response

13. Examples of sentiment analysis
Keyword
analysis
Overtones of
open
response
Respondent's
emotions
evoked by the
answer

14. Text module
The report may be addressed to people who do not need to
have comprehensive knowledge about the study or .
Therefore, some issues may need to be clarified or made more
specific.
This is why we have created a text module for the report,
where you can e.g. explain its content, attach selected graphics
or add a link.
In-depth data analysis

15. Examples of descriptions in the report
Formulating
conclusions
from the
survey
Justification of
the results
obtained
Introduction
and
description
of the test
method

16. Report distribution
Generate an aesthetic PDF report
with all data, content and charts.
Such a report is ideal, for example, for
presentations for translators or
management.
Generate a link to the report, which you
can easily publish on your website,
corporate knowledge base or intranet.
In online reports you can enable live
results update, i.e. the results will
automatically update as the ongoing
survey progresses.
Automate your work and your team.
The module of cyclical reports allows you
to send the current status of the test
results at intervals (e.g. every day, once a
week, etc.) to defined e-mail addresses.
Report to PDF file Online report Cyclical report on e-mail

17. By choosing us
You will prevent customers
from leaving
You will improve customer
service
You will evaluate the
changes in the company
You will react quickly in
crisis situations
You will motivate
employees
Optimize expenses and
increase sales

18. They trusted us:

19. Contact Marcin
to get to know the offer.
Marcin Racino
+48 695 450 000
m.racino@startquestion.com