Analyze your (qualitative) data using affinity diagramming

Derive a primary persona from your data-gathering insights

Create scenarios

Scenario 1
Jorg does the groceries each Saturday after he finishes doing the chores. Jorg is used to coming back home from work exhausted and not in the mood to cook especially that he used most of the ingredients he has bought last Saturday. For this exact reason, Jorg had the habit to eat outside or order food on Thursdays and Fridays.
After he installed HelloFridge, Jorg rushes to her kitchen every timeshe arrives home from work, opens his fridge and his kitchen closet, and starts creating an ingredients list in the HelloFridge application. After finalizing the list and clicking the confirmation button, Jorg will see a variety of recipe suggestions that he can choose from.
When
Jorg does the groceries each Saturday after he finishes doing the chores. Jorg is used to coming back home from work exhausted and not in the mood to cook especially that he used most of the ingredients he has bought last Saturday. For this exact reason, Jorg had the habit to eat outside or order food on Thursdays and Fridays.
After he installed HelloFridge, Jorg rushes to his kitchen every time he arrives home from work, opens his fridge and his kitchen closet, and starts creating an ingredients list in the HelloFridge application. After finalizing the list and clicking the confirmation button, Jorg should see a variety of recipe suggestions that he can choose from.
Where
Jorg does the groceries each Saturday after he finishes doing the chores. Jorg is used to coming back home from work exhausted and not in the mood to cook especially that he used most of the ingredients he has bought last Saturday. For this exact reason, Jorg had the habit to eat outside or order food on Thursdays and Fridays.
After he installed HelloFridge, Jorg rushes to her kitchen every time he arrives home from work, opens his fridge and his kitchen closet, and starts creating an ingredients list in the HelloFridge application. After finalizing the list and clicking the confirmation button, Jorg should see a variety of recipe suggestions that he can choose from.

Scenario 2
Jorg does his weekly groceries on Fridays on his way back from work. Directly after arriving, Jorg starts arranging the food products in the fridge and kitchen closet. During this process, Jorg opens HelloFridge to create an ingredient list. After finishing, he should get a list of possible recipes as result. By selecting a recipe, Jorg can add the recipe to favorites or plan it in the calendar.
Each time Jorg confirms a recipe to tell HelloFridge that he has cooked it, the ingredients can be subtracted from the current ingredients list and new suggestions should get generated from the updated ingredients list.
When
Jorg does his weekly groceries on Fridays on his way back from work. Directly after arriving, Jorg starts arranging the food products in the fridge and kitchen closet. During this process, Jorg opens HelloFridge to create an ingredient list. After finishing, he should get a list of possible recipes as result. By selecting a recipe, Jorg can add the recipe to favorites or plan it in the calendar.
Each time Jorg confirms a recipe to tell HelloFridge that he has cooked it, the ingredients can be subtracted from the current ingredients list and new suggestions should get generated from the updated ingredients list.
Where
Jorg does his weekly groceries on Fridays on his way back from work. Directly after arriving, Jorg starts arranging the food products in the fridge and kitchen closet. During this process, Jorg opens HelloFridge to create an ingredient list. After finishing, he should get a list of possible recipes as result. By selecting a recipe, Jorg can add the recipe to favorites or plan it in the calendar.
Each time Jorg confirms a recipe to tell HelloFridge that he has cooked it, the ingredients can be subtracted from the current ingredients list and new suggestions should get generated from the updated ingredients list.

Model two Use Cases with UML

Who did what?

In this week we worked close together since the tasks required a lot of comunication and discussions. It’s difficult to identify the real difference.

What did we learn?

We discovered the new methods which we had first in the live session. We also practiced the skills which we got introduced during „Software Engineering“.

What went well?

Our communication is very good. We have a good common language regarding all our project tasks and it’s easy to share opinios, even during online learning.

What do we want to improve?

In the next week we will try to keep a better work book since our current Miro workbook is filled with the challenges from all the weeks before and that’s not clear anymore.

Define the goals of your data gathering session

Zuerst wollen wir erfahren, was die größten Probleme sind, die aktuell bei Online Brettspielabenden bestehen, um danach anhand dieser Funktionen Prioritäten vergeben zu können. Weiterhin wollen wir erfahren wie und in welchem Umfang die Nutzer vor Corona und jetzt Brettspielabende gestalten um unsere Nutzer besser kennenzulernen und besser einzuschätzen wie sie die Anwendung nutzen würden. Auch wollen wir erfahren wie die Nutzer sich den „perfekten“ Brettspielabend vorstellen.

Based on your goal, derive the kind of people you want to gather data from

Unsere Teilnehmer für die Umfrage sind Personen die gerne Brettspiele spielen und eher jünger (wahrscheinlich eher Studenten). Für das Interview befragen wir 2 Freunde.

Decide on your data gathering method

Which methods are you using and why?

Zusätzlich zu den Interviews werden wir auch noch eine Umfrage durchführen, da die Daten die sich hier sammeln lassen deutlich besser vergleichbar sind und sich schneller/einfacher auswerten lassen sind dafür allerdings nicht so detailliert. Die Interviews dagegen sollen uns sehr detaillierte Antworten bringen, was für Probleme und Wünsche es gibt.

What type of interview (structured, unstructured, semi-structured)?

Wir planen ein semi-strukturiertes Interview durchzuführen. Wir werden ein Größtenteils wird es ein strukturiertes Interview sein, allerdings wenn es um Problembeschreibung oder Wünsche geht werden wir die Fragen offen stellen.

What kind of data do you want to gather?

Das Interview ist vor allem daraus ausgelegt qualitative Daten zusammen, die Umfrage dagegen soll hauptsächlich quantitative Daten sammeln.

Decide how you handle the topics pilot study & data recording.

Pilot Study

Wir haben die Pilot Study aufgrund der kurzen Zeit ausschließlich für die Umfrage durchgeführt um dafür zu sorgen, dass die Fragen verständlich für den Teilnehmer der Umfrage sind. Hierfür haben wir uns ein paar Personen aus unserem Bekanntenkreis Gesicht, die sich dass angeschaut haben.

Data Recording

Interviews: schriftliche Notizen – Die sind einfacher Auszuwerten und meistens akzeptierter bei Interviewpartner als Aufnahmen

Umfragen: Tabellen und Diagramme, die automatisch vom Umfrage Tool erzeugt werden.

• Project 7
• Week 2

• Define the goals of your data gathering session.
  The goal of our study is to gather information on how people of age group 50+ form their opinions on political topics, i.e., how many and which sources are used. Additionally, we attempt to find out whether they consider their own opinion biased or balanced. We want to also know how they life in social media looks like and their daily usage of news.

• Based on your goal, derive the kind of people you want to gather data from.
  We needed people of age 50+ for our interviews. Survey, however, was sent to wider range of people to get bigger picture on the problem. Through this survey we were also looking for participants over 50 years old.

• Decide on your data gathering method.
  We use two methods. First, we conduct a questionnaire targeted at the general public, which we will post on forums and mailing lists. In parallel, partially based on preliminary results from the questionnaire we conduct in-depth interviews with multiple participants of our target group of age 50+.
  
  Our interviews are semi-structured. We decided, since we are going to talk about politics, we need to give our interviewed a space for longer responses and to share their opinion on the problem.

• Decide how you handle the topics pilot study & data recording.
  For data recording we used: Audio recording and notes for personal interviews and video recording for a remote interview. Achieved transcription from the interviews will be used as a main source for us.
  
  We use Google Forms as questionnaire software. They will provide us with categorized and counted solutions in the form of Excel sheet. We will be working from there on the next assignments.

Reflection:

We took our time to rethink thouroughly the questions for participants of our survey and interview. There was a lot of brain storming to decide what data do we want to gather from the public. Working together on the file was very helpful and time saving.

What surprised us, was the response for our survey. We got more replies than we expected and we hope that this is going to make our work more clear in next assignments. Our topic is definitely a wide area and a controversive one. We hope for more questions to answer and more solutions to provide.

In terms of how the interviews went, we are happy how did it go and with data we were able to gather. Some information and ideas came up during them, that we didn’t predict before. The biggest struggle was avoiding leading questions, as the main topic is politics and media, where each person can have it’s own, original opinion.

Also thanks to the survey we conducted, we could get a feedback from our responses about the questions and the problem. Opened questions in the survery, allowed our responders to state their opinion and some of them we followed up by the discussion on our meeting.