Across
- 2. When taking your job to Operations, Data Collect all job parts to this status.
- 4. You can open a job manually here for a Limelight job.
- 6. Save any files sent from the client in this location for your artist.
- 9. To ensure the products get to the client, be sure to add one of these in Pace.
- 10. You should do this with the proof after the client has approved it. (hint: so you can put it in the job jacket)
- 11. If the job is one of these, you'll need to enter a date in the Hard Due Date field in Pace.
- 12. Be sure to request these (i.e. logos, floor plans, photos, etc.) and other design elements (i.e. amenities, hours, special text, etc.) from the client if we don't already have them.
- 14. If the client wants to make any of these, mark them clearly on the proof or place in an easy-to-understand list, email to the artist and then Data Collect the Job Part to "To Limelight - Changes".
- 16. When the artist sends you this, review it for accuracy, email it to the client and then Data Collect the Job Part to "Proof with Customer".
Down
- 1. Place your job ticket and approved, stamped artwork in one of these before taking it to Ops.
- 2. Use this Data Collection when scheduling a new Limelight job.
- 3. The artist will send you one of these when your proof is ready.
- 5. Use the Limelight ____ ____ to determine how much to charge a client for custom designs.
- 7. If the client exceeds two rounds of revisions, you will need to start charging $125 per ____ on a separate Job Part.
- 8. Email this person to get your Limelight job on the schedule.
- 13. Once the artwork is approved, you'll need to add the other _____ to your job for the production of the products.
- 14. After the proof is approved, stamp it with this. You should also sign and date the proof.
- 15. When quoting design pricing to a client, you should let them know that includes the initial proof and this many rounds of minor revisions.
- 17. Once you Data Collect a job to the Operations team, you should place your job jacket(s) in their bin within this many hours of the Data Collection.
