# data[].attributes.body
Ueben, ueben, ueben und kurzen. Das letzte rehearsal war leider bei 4:45 MIN. die Integration nach dem letzten rehearsal machen sie bis Freitag.

# data[].attributes.body
Slide almost ready

# data[].attributes.body
Prototype will be on stage

# data[].attributes.body
Prototype is Reader. Präsentation mit allen slides steht auch. Script und Ablauf mehrmals erprobt.

# data[].attributes.body
No

# data[].attributes.body
Die haben so viele tolle Team Momente. Einfach ein tolles Team.

# data[].attributes.body
Mara kam später hat den Prozess in ihrer kritischen analytischen Art super strukturiert.

# data[].attributes.body
Feedback auf Präsentationen gegeben. Ansonsten unabhängig wie immer.

# data[].attributes.body
As usual they worked well together, split up the tasks to build the prototype.

# data[].attributes.body
They worked super idenpendently. I didn’t coach them at all. Spent all my time with the other team

# data[].attributes.body
Wie gesagt. sie wollen eine wand bauen, warscheinlich mit card board. sowie die geschickt in eine kommunikationstrategie einbinden, die den nutzer in den laden führt, das heißt die richtigen zeichen und informationen innerhalb der user journey der wand verteilen (was steht auf der wand drauf? was sehen die leute, wenn sie durch die löcher gucken, was erhalten sie für eine inforamtionen danach und was ist der "hook" in den laden?). außerdem wollen sie noch visuelle beispiele erstellen, wie die wand in verschiedenen kontexten funktoniert  (verschiede lokations mit verschiedenen user goups)

# data[].attributes.body
sie haben gemeinsam ein elevatorpitch entwickelt. funktionierte gut. sie haben die zwei verschiedenen variaten ihrer idee (mobile und wand version) mit anderen teams getestet und sie fuer die wand entschieden.

# data[].attributes.body
sie haben gemeinsam ein elevatorpitch entwickelt. funktionierte gut. sie haben die zwei verschiedenen variaten ihrer idee (mobile und wand version) mit anderen teams getestet und sie fuer die wand entschieden.

# data[].attributes.body
sehr gute teamdynamik. alle haben ihren platz und sie schwimmen gut zusammen. leon gibt struktur und fokussiert auf das wesentliclhe, mara gibt wertvolle krtische comments, ...

# data[].attributes.body
Habe sie nur an wenigen Punkten Korrekturen und Feedback gegeben. sie haben sehr selbstständig gearbeitet

# data[].attributes.body
help them carve out the critical functions + USP of their eye sight test --> touchpoints in the life of the customer which raises awareness about eye sight problems and link to optician

# data[].attributes.body
they have some interesting insights on their idea "eye sight test" which they will continue working on

they signed up for the Protofestival for their preferred workshops and have a fleshed out Protofestival template

# data[].attributes.body
prototyping worked well - they become active right a way

the testing first was difficult as approaching people in the shopping arcade and cinema didn't work out, therefore they moved to the metro station and there they had good + multiple testees

# data[].attributes.body
they work quite harmounesly as a team

# data[].attributes.body
testing on the Metro station worked surprisingly well, testees actually spent time with us (some ignored 4-5 of their trains). one was an extreme user with diabetic eye sight problems and using four different glasses according to situationvery interesting

# data[].attributes.body
Fabian (the one with the frameless glasses) is the moderator + time keeper
Mara was very active during testing (somethings not digging deep enough) and Sophia was "administrating" the filling out templates etc.
the remaining two boys Erik + Mateusz are rather passive: always present but not so out-spoken

# data[].attributes.body
they are very self-organized, wherefore I had to only share the respective templates / deliverables of the day with them, they time-managed themself

during building prototype I "challenged" them on the "user journey" and during testing I helped them to dig deeper from time-to-time

# data[].attributes.body
I could be good help them to decide for one idea to move forward. Their ideas turned to a dress very specific target groups, with too little relevance for the client. To iterate their ideas in order to widen the target group in a smart way, is a challenge, which we should keep in mind.  And I enjoyed the day with them!!!

# data[].attributes.body
4 ideas, which are ok to build on. A good partners call. They responded generally positive on their ideas. But they rather wants to understand their research and the path leading to the ideas than wants to have great ideas at that point. The ideas of team 4 just perfectly serves the assumptions and assumptions of the partner: buying glass should be fun, the optician should build networks with related field of business and to fields of entertainment and lifestyle, at least, this is my interpretation.

# data[].attributes.body
The idea dashboard worked quite well. Forcing them to differentiate the idea helped them a lot. Also to make drawings.

# data[].attributes.body
Mara felt quite in love with her idea and had problems to let the others co create on her idea dashboard. Finally they found a way to deal with it.

# data[].attributes.body
Before presenting their ideas to the partner, they were quite unsure and Mara was not happy with it. The partner responded almost enthusiastic on their ideas. This gave them a boost of energy and trust on their capability and process. On the other hand the positive feedback left them a bit clueless, because they would have liked more critical comments, to understand how to improve the ideas.

# data[].attributes.body
Your description on last friday fits 100 % to last Tuesday as well.

# data[].attributes.body
I helped them with structuring the ideation, when I felt it's needed. And helped them to prepare themself for the partner s call.

# data[].attributes.headline
Make sure they bring their insights across during the project partner talk (not only their POV but all the other fields of opportunity)

# data[].attributes.subject
Make sure they bring their insights across during the project partner talk (not only their POV but all the other fields of opportunity)

# data[].attributes.headline
In the morning they tried the three layers of user experience tool which was presented in the storytelling input which worked quite well. Besides they applied the 2x2 matrix, persona, POV

# data[].attributes.subject
In the morning they tried the three layers of user experience tool which was presented in the storytelling input which worked quite well. Besides they applied the 2x2 matrix, persona, POV

# data[].attributes.headline
After the POV presentation they let go of their POV and decided to move on with a different one, which was a good idea because for their first POV they mixed up too many insights

# data[].attributes.subject
After the POV presentation they let go of their POV and decided to move on with a different one, which was a good idea because for their first POV they mixed up too many insights

# data[].attributes.headline
Fabian is the moderator, Mara is the critical one, sometimes blocking the team to move forward. 

# data[].attributes.subject
Fabian is the moderator, Mara is the critical one, sometimes blocking the team to move forward. 

# data[].attributes.headline
On purpose I was trying to not play such an active role because it feels like the team is very structured, Fabian is taking over the moderator role, they work very independently.

# data[].attributes.subject
On purpose I was trying to not play such an active role because it feels like the team is very structured, Fabian is taking over the moderator role, they work very independently.

# data[].attributes.body
Drawing red lines and making connections from all the interviews will be probably the challange.

# data[].attributes.body
The three ere unpacking  plenty of interviews. The team have scheduled the todays thursday to compile and evaluate all interviews - and share their experience. I hope they have done it.

# data[].attributes.body
Just did interview and unpacking with charett. There were noting that didn't work.

# data[].attributes.body
No serious conflicts.

# data[].attributes.body
Engaging discussion in the subway when heading to the next stores. Reflecting the intense interview with one optician they had.

# data[].attributes.body
They were just three, because Eric and Fabian were traveling to Mannheim to do research at the partners stores. The remaining three worked quite harmoniously together.

# data[].attributes.body
I was joining them at their field research. Interviews at optician stores. Helped them to set priorities and define first major design questions during their unpacking.

# data[].attributes.headline
try to identify more potnetial user groups - so far they only seem to have the "stylish" ppl who like glasses and the "glasses as necessary evil" ppl - there is more!

# data[].attributes.subject
try to identify more potnetial user groups - so far they only seem to have the "stylish" ppl who like glasses and the "glasses as necessary evil" ppl - there is more!

# data[].attributes.headline
first unpacking and insights after ca. 10-15 interviews and observations in mr spex and fielmann

# data[].attributes.subject
first unpacking and insights after ca. 10-15 interviews and observations in mr spex and fielmann

# data[].attributes.headline
conversation starters worked well, deriving insights still is difficult for them

# data[].attributes.subject
conversation starters worked well, deriving insights still is difficult for them

# data[].attributes.headline
At the end there was not enough time for the unpacking, discussion were unstructured, it was not clear anymore what insights were...I had to step in quite a lot to get them back on track. They still need to do the Log Cal for today

# data[].attributes.subject
At the end there was not enough time for the unpacking, discussion were unstructured, it was not clear anymore what insights were...I had to step in quite a lot to get them back on track. They still need to do the Log Cal for today

# data[].attributes.headline
They enjoyed working with the 3 probes (sign: Können Sie das lesen? Mood cards towards optician, ranking board for sucesss criteria of an opitcian). In general they all had fun doing the research

# data[].attributes.subject
They enjoyed working with the 3 probes (sign: Können Sie das lesen? Mood cards towards optician, ranking board for sucesss criteria of an opitcian). In general they all had fun doing the research

# data[].attributes.headline
Again all of them were quite involved, Fabian takes over the moderation a little bit - in a very nice way. The polish guy and Mara were a little bit lost during the last part of the day, when we derived insights but this was also due to a lowering energy level. The polish guy usually does the writing and prop prepation, very good visualization skills

# data[].attributes.subject
Again all of them were quite involved, Fabian takes over the moderation a little bit - in a very nice way. The polish guy and Mara were a little bit lost during the last part of the day, when we derived insights but this was also due to a lowering energy level. The polish guy usually does the writing and prop prepation, very good visualization skills

# data[].attributes.headline
I met them in the morning when they developed an agenda for the day and planned their field research. I supported them in reflecting which field research methods they want to use.  They did the field research on their own on Alexa and I came back to the team when they did their unpacking. The team works independently quite well. Might get stuck in discussions, that's when I stepped in.

# data[].attributes.subject
I met them in the morning when they developed an agenda for the day and planned their field research. I supported them in reflecting which field research methods they want to use.  They did the field research on their own on Alexa and I came back to the team when they did their unpacking. The team works independently quite well. Might get stuck in discussions, that's when I stepped in.

# data[].attributes.body
Questions for the partners meeting.
hey defined user group for the research (see image) and want to tell you, Nadia, where they want to do the interviews.

# data[].attributes.body
helping them with making a well structures unpacking with clear identifications of the key nuggets and underlaying topics.

# data[].attributes.body
stakeholder map worked well. their persona prop for the meeting worked well.

# data[].attributes.body
the teams has problems to structure their thoughts. the whiteboard are a big mess. no clear order, no color coding and little awareness for it. i told them to put more attention to it and encourage them to talk about it how to collaboratly map their process.

# data[].attributes.body
they took the partners meeting quite serious. prepared themself very well. maybe even over engineered the meeting. the meeting was good. good spirit between partner ans student. he framed the challange and their expectation very well and point out that they are open to every insight the teams will figuring out.

# data[].attributes.body
all of them are almost equally involved in the process. the sociologist ( male with glasses) plays a more active role by moderating and guiding the groups. His dominant is not critical, but may discourage other to contribute more.

# data[].attributes.body
helped the team to keep the focus on the next goals, for example developing questions for the partner's meeting.

# data[].attributes.body
Urge them to kill their darlings and be open for new understand and observe phase-dig deeper into needs of user

# data[].attributes.body
First understanding of challenge, prepared for tak with project partner, hopefully they are not to narrow now

# data[].attributes.body
Fast forward in general worked very well, they used a role play to get a better understanding of theirselected  idea after ideation which worked very well

# data[].attributes.body
Nope

# data[].attributes.body
The team was in a good flow during the fast forward, nothing super notable, in general all very good

# data[].attributes.body
They are all pretty active and involved, Mara is sometimes a little bit critical, takes her own speed and does not focus on the team discussion but rather finishes her own thiughts

# data[].attributes.body
proposed which method to use in each phase, the rest was pretty much done independently by the team. They are pretty well structured