A rating without the check
Guest feedback arrives without the visit context — the table, the items, the timing — that makes follow-up useful.
For investors
A working product, ready for its next measurable phase.
ShiftLift starts with restaurant review management and layers in connected business intelligence and customer retention. Funding supports a dependable commercial offering that brings guest sentiment, check averages, selling behavior, and role-specific coaching into the same managerial workflow.
The investment case
Restaurant managers make decisions about service, follow-up, and coaching from information that is often viewed separately. ShiftLift is being built to connect these views and make the next useful action easier to identify. Investment would support the transition from development evidence to a repeatable customer experience, paid adoption, and measured operating value.
A sales total without the guest
POS reports show transactions, not sentiment. What guests felt about the visit lives in a different tool entirely.
A comparison without the role
Team comparisons often overlook the role a person actually worked, so coaching targets the wrong thing.
What the product does
- Starts with restaurant review management: guest ratings, comments, and visit-linked feedback.
- Brings ratings, spending, items ordered, and available reservation context into the same investigation.
- Connects guest feedback review to retention-focused case follow-up; guest replies and internal discussion remain in development.
- Provides team and category analysis, with role-specific coaching and Perfect Check refinements in development.
Why a restaurant would pay
A manager should be able to open a dashboard issue, see the affected visits, and understand the evidence without assembling it across several tools:
- Less manual investigation across separate tools.
- Clearer coaching priorities, scoped to the role a person worked.
- Better follow-through on guest concerns, with retention as the goal rather than a case-closure claim.
Value from day one is the product goal. First-day payback must be tested against subscription cost, manager effort saved, and documented outcomes; it is not an established revenue or profit claim.
Evidence already established
Documented integrations
Toast synchronization, visit-linked surveys, item-level check context, and OpenTable enrichment are documented in project records — not promised, built.
A working matching mechanism
In one documented Highland House technical sample, 67 of 100 completed reservations exposed POS check links, and all 89 distinct check identifiers supplied matched stored Toast checks. This demonstrates working matching where the shared identifier exists — not universal reservation coverage.
A working product walkthrough
Guest, sales, team, and configuration screens are live today. The walkthrough identified specific usability gaps now being addressed — implementation evidence, not yet paying-customer traction.
Review management with a connected intelligence layer
ShiftLift's product thesis is that review management becomes more useful when sentiment is connected to transactions and server performance. Check-average gaps and Perfect Check comparisons in development become questions to investigate alongside guest feedback — with retention-focused follow-up as the next step, not an assumed result. This does not establish marketplace exclusivity or competitor feature gaps.
The defensible asset to build is a trusted operational workflow: reliable matching, careful attribution, restaurant-specific configuration, and a history of useful managerial decisions. This is a product thesis rather than an established market moat.
Subscription revenue model
$299 USD per location per month, with custom enterprise contracts. Messaging, integration, hosting, and support costs will be evaluated against subscription margins.
Annual recurring revenue, customer acquisition cost, and valuation are not claimed at this stage.
Proposed path to customers
- 1
Recruit a small, committed pilot cohort with approved data access and managers who will use the product during regular operations.
- 2
Record a baseline for investigation time and follow-up behavior, then observe the same workflows with ShiftLift.
- 3
Establish willingness to pay through explicit commercial conversations and actual paid commitments.
- 4
Reach similar restaurants through permissioned demonstrations, operator introductions, and referrals.
What will be measured
- Time to first useful insight
- Weekly manager usage
- Feedback investigated and time to follow-up
- Coaching actions taken
- Activation and pilot-to-paid conversion
- Retention, support time per location, and contribution margin
Comparable time periods and documented operating changes come before any sales or rating change is attributed to ShiftLift.
What funding would accomplish
Product and reliability
Complete the dashboard and workflow redesign; verify attribution, benchmarks, and Perfect Check calculations with realistic edge cases.
Production readiness
Validate authentication, location isolation, integration reliability, monitoring, and recovery procedures before broader access.
Pilot and onboarding
Demonstrate a repeatable setup process, consistent manager use, and a measured reduction in effort for selected workflows.
Commercial validation
Secure paid commitments, understand support and service costs, and test a sustainable pricing model.
A staged funding approach
Milestone-based funding rather than an unbounded feature list. The first stage delivers a dependable pilot product and measurable workflow value; subsequent funding depends on actual activation, usage, paid adoption, and service economics. Amount, runway, staffing, ownership terms, and milestone dates remain to be agreed with the funding partner.
Material risks, addressed directly
- Integration access and incomplete data can limit coverage — we prioritize supported records, show missingness clearly, and measure match coverage.
- Sparse feedback and shared team entries can distort coaching — role scope and eligibility stay explicit.
- Usability and onboarding may determine adoption more than feature breadth — recurring manager workflows are tested before scope expands.
- Deployment-specific privacy, security, and messaging reviews are completed before broader access or live outreach.
Why support ShiftLift now
The project has moved beyond a concept: connected data and working product flows are documented, and the next usability improvements are concrete. Funding can now be tied to a testable outcome — whether restaurant managers repeatedly use ShiftLift, save meaningful effort, and choose to pay for it. That is the immediate reason to fund the next phase, with larger expansion contingent on evidence.
What the funding conversation needs next
Agree on the structure — equity investment, another financing arrangement, or a development sponsorship — plus the requested amount and use-of-funds budget. Then review the live product, code and IP ownership, integration access, commercial commitments, operating costs, and founder delivery responsibilities.
For investors
Invest today.
A working product, documented integrations, and a milestone-based plan. See it live and start the conversation.
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