

Interactive prototype based on the final NPS working file
Click any step to jump directly to that screen. The survey is fully clickable for review.
Step 1 of 9Prototype data is illustrative and included only to demonstrate the requested reporting behaviour.
1–5 star distribution, total number & %, Top Box, Top-2 Box, and average score.
Average frequency: 3.6 visits / 3 months · Purchase cycle: 25 days
Click any comment below to drill into the underlying response.
Gap tags can be used by Tokyo Tokyo as the basis for its own MADI classification.
Open any response to view the full survey answers, attributes, gap tags, voice/text feedback and transaction reference.
| Date | Branch | NPS | Usage | Primary gap | Report |
|---|---|---|---|---|---|
| 16 Sep | Trinoma | 9 | Current | — | |
| 16 Sep | Festival Mall | 4 | Current | Long wait time | |
| 15 Sep | SM Lucena | 10 | New | — |
Illustrative branch setup and survey status.
| Branch | Code | Status |
|---|---|---|
| Trinoma | 108 | Active |
| Festival Mall | 112 | Active |
| SM Lucena | 124 | Active |
| Ayala Bacolod | 131 | Active |
Illustrative access by role and branch.
| User | Role | Access |
|---|---|---|
| Head Office CX | Administrator | All branches |
| Area Manager North | Manager | 12 branches |
| Trinoma Manager | Branch User | Trinoma |
Single-branch access for store teams. The content below is filtered to the selected store only.
Store users see only responses and trends for their assigned branch.
Same 1–5 distribution and visual cues, filtered to this store.
Voice comments and transcripts submitted for this store.
Automatically identified gaps for this store only.
Individual customer response reports for this store.
| Date | NPS | Usage | Gap | Report |
|---|---|---|---|---|
| 16 Sep | 9 | Current | — | |
| 15 Sep | 5 | Current | Long wait time |
Store-level exports can be restricted to the assigned branch.
Operational problems/issues only. Tokyo Tokyo can use these gaps as the basis for its own MADI classification.
Kept separate from the Gap Library so the dashboard can explain what is driving strong experiences and advocacy.
Reports where this driver was identified
The food was hot, the beef was tender and the crew was very friendly...
The queue moved slowly and my order took almost 20 minutes...
The meal was okay, but the rice portion felt smaller...