For diners
Plan and choose a meal
Explore how a diner might compare available food, find relevant options, and optionally plan ahead.
- About 2 minutes, no account
- Compare, build a meal, plan a week if you want
Prototype
Try the idea, from both sides of the counter
Two interactive concepts make Daki's hypothesis tangible. One shows how a diner might find and plan a meal. The other shows what aggregated, voluntary signals might help a dining team learn sooner.
Interactive prototype using illustrative data. Daki is not currently an official Harvard dining service. The menu is fictional and the dining-team figures are simulated.
For dining teams
Explore dining insights
See how aggregated diner intentions and feedback might help dining teams learn sooner.
- Simulated, clearly labeled sample data
- Questions to help shape a responsible pilot
Hypothesis
How the two prototypes connect
Choices you make in the diner experience appear as demonstration signals in the dining-team concept, kept separate from the sample data and stored only in this browser.
- Current menu information
- Diner explores or plans
- Voluntary interaction signals
- Privacy-conscious aggregation
- Dining team interprets patterns
- Potential improvements to information and experience
Transparency
What is real, and what is simulated
| Part of the prototype | Status | Notes |
|---|---|---|
| Diner flow: context, preferences, options, compare, save, dismiss, build, plan | Fully interactive | Runs on simple rules in your browser |
| Calendar file (.ics) for a planned meal | Works | Standard file for most calendar apps |
| Google Calendar sync | Not built | Future possibility |
| Menu, dishes and locations | Simulated | Fictional sample dataset |
| Dining-team figures and charts | Simulated | Generated from the sample menu with a fixed seed |
| Your demonstration signals | Real, local only | Saved in this browser; never sent anywhere |
| Food notes | Real sources | General education with linked sources; one placeholder awaits a source |
| Health, waste or operational outcomes | Not demonstrated | Nothing in the prototype measures them |
Daki provides general food education, not medical or individualized nutrition advice. People with allergies or medical dietary needs should use official dining information and consult an appropriate professional.
Help shape the experiment
Try both prototypes, then tell us what felt useful and what did not. Students can join the waitlist for early testing.
The waitlist is a short Google Form. Joining does not give immediate access; it helps Daki recruit early testers and understand dining contexts for the first Harvard-focused experiment.
Work in dining, research, or campus life?
We would like to learn what information would be useful to you before anything is built for dining teams.
Or write to
maverickyasuda@college.harvard.edu