# data[].attributes.body
E-7
D-8
G-5
E-10
Tone: 50
Total 80

# data[].attributes.body
E(xplain): 7
D(escribe): 3
G(ive) : 7
E(nding): 6
Tone of voice: 20

Total Score: 43

# data[].attributes.body
E(xplain): 8
D(escribe): 8
G(ive the mic): 7
E(nding): 7
Tone of voice: 50

TOTAL:  80

# data[].attributes.body
E: 8
D: 7
G: 7
E: 4
Tone of voice: 30
Grand total: 56

# data[].attributes.body
Explain: 8
Describe: 2 (implied through context)
Give them the mic: 6
Ending: 9
Ton of voice: 35

Total: 60

# data[].attributes.body
Well done in developing the software in a way that it is clean and can be reused.

I am impressed by the innovative approach you followed and the quality of the code. This can benefit the rest of the team and allow us to deliver the application to the client sooner.

How do you feel it went?

So, keep up the good work. Would you like to present your implementation to the team?

# data[].attributes.body
Amazing job on getting the release out, not only is it day ahead of schedule but you managed to include additional production bugs as well.

The client for once is really happy with the delivery and the quality of the work.

I know I put you under some pressure to get the release done, and you definitely stepped up to the challenge. At  least that is how I see it. How was this release for you?

Once again, excellent job. If there is anything I can help with, then please do let me know.

# data[].attributes.body
So great!

# data[].attributes.body
Summary: The action was the delivery of changes to an important feature that has been lagging behind.  Based on commits some changes were made very late at night.

I noticed that you managed to deliver the changes that I requested in order to close the merge request. I also noticed that you worked late in order to do this

Since this is finished we can deliver it to testing for them to check, and also we can put this feature behind us.

How do you feel about the changes I asked you to make?  Did you feel it was necessary to put in extra hours to get this done yesterday?

....
I am happy that this is finally finished.

# data[].attributes.body
In my code review of the task you undertook I noticed that you used lambda expressions and streams to perform the processing of the data retrieved from the DB.

I think it's a very clever way to tackle the problem at hand which results in very clean code.

How did you end up using lambda expressions?

Do you think we can arrange a call so that you demonstrate to the rest of the team this way of coding that will benefit us all?

# data[].attributes.body
I saw that yesterday you proactively helped your team member, who is new colleague, giving her a very effective training.

Our new colleague was a bit scared of the new tasks and how to perform them, unfortunately I did not have time to get in touch with her and am very happy that you did without an explicit request from my side.

Can you please tell me how and why did you decide to contact her ? What kind of information did you share?

This exercise could be also useful with other colleagues or other newcomers in the future.

# data[].attributes.body
Well done on the demo of the TC in the Web App last week that you managed prepare in short notice. You had also noted the open questions from the previous demo.

This left a good impression on the customer and in the same time we managed to have concrete answers from the customer.

What is your opinion how do you feel it went ?

We should organize the next demo when the mockups are ready.

# data[].attributes.body
Well done in the past weeks in completing the assignment, spending overtime, focus on clients requests, and deliver good quality.

Thank you for putting in the extra effort during this crowded time. I understand that staying late isn't easy and focus on so many open points and requests, but the team truly appreciates it. You are a valuable member of our team, and your jokes and positive attitude has helped us become stronger.

What was your strategy to face the challenges?

Thank you for setting such a great example, what are your next?

# data[].attributes.body
Pierre,
Great Job on writting in the Wiki the simplified COBIT process we are applying.

Well done and could be usefull to onboard a new comer in the team

# data[].attributes.body
Your approach on performance fixes was fast , to the point and worked with first try.

It shows that you go the extra mile and much further.

Your actions gave value to our team towards the customer so I propose you for level up

# data[].attributes.body
Έκανες πολλή καλή δουλειά με την δημιουργία των αυτομάτων scripts για την μετατροπή της SQL βάσης δεδομένων. Παρατήρησα ότι χρησιμοποίησες  σύγχρονες τεχνικές για να επιτύχεις τον στόχο τόσο πολλών αλλαγών σε αυτή την ταχήτητα.

Αυτό θα δώσει περισσότερο χρόνο από ότι είχαμε υπολογίσει
στις υπόλοιπες ομάδες για το τεστ και θα βοηθήσει πολύ.

Πως ακριβώς σκέφτηκες αυτόν τον τρόπο εφαρμογής των αλλαγών?

Πιστεύεις θα είναι το ίδιο αποτελεσματικό και για την DB2 βάση?

# data[].attributes.body
Summary: The action was the delivery of changes to an important feature that has been lagging behind.  Based on commits some changes were made very late at night.

I noticed that you managed to deliver the changes that I requested in order to close the merge request. I also noticed that you worked late in order to do this

Since this is finished we can deliver it to testing for them to check, and also we can put this feature behind us.

How do you feel about the changes I asked you to make?  Did you feel it was necessary to put in extra hours to get this done yesterday?

....
I am happy that this is finally finished.

# data[].attributes.body
I noticed that you completed the controller impementation task on time and it works great.
This controller was crucial since it enables a functionality that was requested by the customer with high priority.
Also, it is abvious that in order to complete this task successfully and on time, you deeped dive in the related stuck and cooperated efficiently with the testing team.
How did you feel about this? Did you face any technical difficulties?
I believe that next time you could take over even a more advanced task

# data[].attributes.body
Η υλοποίηση που έχεις κάνει, μετά την εγκατάσταση έπαιξε πολύ καλά.

Παρατηρήσαμε καλό χρόνο ανταπόκρισης του συστήματος και επαρκές καταγραφή των log. Ο PM είναι πολύ ευχαριστημένος και ο πελάτης θα χαρεί πολύ.

Τι σου άρεσε σε αυτό το project και τι καινούριο έμαθες?

....

Θέλω να συνεχίσεις να παραδίνεις κωδικά τέτοιας ποιότητας.

# data[].attributes.body
Thanks for getting that release turned around so quickly.

The client is happy that the issue was fixed so quickly and didn't push why the issue was in production.

How is everything otherwise?

Anything you need from me?

# data[].attributes.body
Είμαι πολύ ευχαριστημένος με το αποτέλεσμα της εργασίας σου, ειδικά αν συνυπολογίσουμε τον  περιορισμένο χρόνο που είχες στην διάθεση σου.

Με εντυπωσίασε τόσο το πόσο γρήγορα κατάφερες να την ολοκληρώσεις όσο και η ποιότητα του παραδοτέου!

Πως κατάφερες να είσαι τόσο ontime?

Θεωρείς πως θα μπορούσες να διατηρήσεις την απόδοση σου under-pressure και στον μέλλον?

# data[].attributes.body
Great work on writing the offer Stefan.  The structure and flow were impressive.  I could easily follow every proposal as it added up.

You are definitely making progress on writing assignments.  a seasoned writer, already

How was it for you? Did you enjoy it?

I think I could use your insights in the new offer I'm writing for client X

# data[].attributes.body
E(xplain):  out of 10
D(escribe):  out of 10
G(ive the mic):  out of 10
E(nding): out of 10
Tone of voice: out of 60

TOTAL: out of  100

# data[].attributes.headline
Try to get duration around 30''. Keep improving it for 15'!

# data[].attributes.subject
Try to get duration around 30''. Keep improving it for 15'!

# data[].attributes.body
MAKE A VOICEOVER OF YOUR SCRIPT

upload your voiceover

and then listen to it!

How does it sound?

If you are not happy about it, re-record it

Take out the waffle!

# data[].attributes.body
THINK (3')

Identify one  person to whom you’ll give positive feedback within the next 24 hours. They can be team members, colleagues, people in your professional network or friends.

1. What have you observed this person doing well?

2. What impact has the action had?

3. What question will you ask to give them the mic?

4. How will you end the conversation?

SCRIPT (7')

Write down your script in your natural language

# data[].attributes.body
E(xplain): 8
D(escribe): 6
G(ive the mic): 9
E(nding): 2
Tone of voice: 50

TOTAL:  75

# data[].attributes.body
Well done in that presentation;! I noticed you handled the questions well, giving concise answers to some and involving colleagues for others.

I thought that showed teamwork, it showed respect for the client and you got them nodding along.

How do you feel it went?

So, when is your next opportunity to do this again?