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Philadelphia, Pennsylvania · Financial-wellness assessment products

Financial Wellness Software Development for Philadelphia Teams

Updated

Begin with the assessment model your team can approve: the question set, representative answers, expected calculations and the explanation a participant receives. This page focuses on defining that baseline product. Returning-participant behavior, a rule-editor release process and employer reporting have separate scope decisions.

Our MoneyCare case, recorded in Mexico, describes a Next.js and Supabase assessment with a scored results page, a personalized roadmap and editable questions and scoring rules. It offers a concrete engineering reference for a new assessment product. Curiosive combines AI-accelerated implementation with human review and a long-term partnership as the product's questions, content and operating needs evolve.

Concept of a questionnaire tablet beside a results dashboard and paper cards for reviewing assessment logic
AI-generated concept artwork for an assessment product; not a MoneyCare screenshot or financial result.
5+
years building for production
12
countries the work runs in
100%
of code read by a senior engineer
1 day
to hear back, from the engineer
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Start with the approved assessment model

Bring the questions, answer options and the result expected from each representative answer set. The software team can then make the relationship between inputs, rules and displayed content explicit. Name the subject-matter owner who approves the model and its wording. Decide whether every question is required, how an incomplete answer set behaves and whether a participant can revise a response. A clear model gives design and engineering a shared basis for the questionnaire, results and administration screens.

Relevant work: MoneyCare's questionnaire and scoring tools

The published MoneyCare case covers a Next.js application with a landing page, multi-step assessment and results page. Supabase holds assessments and content. Results include category charts and a custom roadmap, while an administration area manages questionnaires, scoring rules and a rich-text blog. Plans can be delivered by email. Questions and scoring rules live in the database, with role-aware row level security limiting administrative writes. The project is recorded in Mexico. This delivery reference establishes product capabilities rather than evidence that a new assessment's model is financially valid or produces a particular participant outcome.

Define what the result explains before expanding administration

Ask the model owner for an expected result and explanation for each representative answer set. Name which answers contribute to a category display, what an incomplete response means and which resource or roadmap text may accompany the result. A chart label is part of the approved interpretation, not proof of the model’s financial validity. Establish one reviewable calculation-to-display example first. If the next problem is editor approval or keeping a participant on the intended rule version, review those separate workflows rather than adding them implicitly to this baseline scope.

Keep the result and its delivery understandable

Design the result around the meaning approved by the content owner. Charts need readable labels, and the roadmap needs a clear relationship to the submitted answers. Decide whether the result is viewed immediately, saved to an account or delivered by email, and what information each route contains. Define a recovery path when delivery fails. AI can accelerate interface implementation and familiar data-handling code; engineers review calculations, access and the complete journey against the approved examples. The product's financial content remains a separate approval responsibility.

Trace an approved answer set to its published result

For a new engagement, bring approved questions, scoring rules and expected results for representative answer sets. Proposed acceptance examples: each agreed answer set produces its expected calculation and result; incomplete input follows the approved rule; category labels match the approved interpretation; and the participant receives the intended result explanation. Review one missing answer and an explicitly selected delivery destination. Editor publishing and returning-participant version behavior are separate scopes. These are proposed checks for your assessment, not additional claims about MoneyCare's historical validation or the effectiveness of its financial guidance.

A product partner as the assessment develops

Participant feedback can reveal confusing wording, missing explanations and administrative tasks the first release did not address. We turn those findings into a shared backlog and reviewed increments with your team. The ongoing relationship covers the software and agreed operating workflows while your content owners retain approval of the model and guidance. Monthly AI-accelerated development starts from $2,000, with scope and capacity agreed in writing. Curiosive LLC collaborates remotely with Philadelphia teams through agreed Eastern-time review windows, with engineering led from Ankara.

Questions

The things people ask before starting.

Can you build financial-wellness assessment software for a Philadelphia team?

Yes. Bring an approved assessment model, representative answers and expected results. We can scope the questionnaire, results and administration journey around that model and your team's publishing responsibilities.

Does a questionnaire require bank-account integration?

That depends on your product. MoneyCare's published case uses questionnaire responses without bank linking or credit checks. An integration-based product would need its own data access and behavior scope.

When should we scope a separate rule-editor workflow?

When staff need to draft, preview and publish revisions after the baseline model is approved. The assessment-admin page covers editor permissions and version decisions; this page focuses on questions, calculation examples and participant-facing results.

Who approves the assessment's financial content?

Your designated subject-matter owner approves the questions, model and result wording. Curiosive implements the approved behavior and reviews the software against agreed examples through a continuing product engagement.

How it starts

What happens after you write to us.

  1. 01

    You describe the product

    One paragraph on what you are building, roughly when you need it, and who it is for. No brief, no form with fifteen fields.

  2. 02

    You get a reply within a day

    From the engineer who would do the work, not a sales team. If we are not the right fit we say so, and where possible we point you somewhere better.

  3. 03

    You get a scoped plan

    Scope, price and timeline in writing before anything is committed. You decide with the numbers in front of you.

No long contract to begin, no lock-in to our tooling, and the code is yours from the first commit.

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Looking for an engineering partner for the long haul?

A short note about the product, the timeline and who it is for is enough to start. You will hear back from the engineer who would do the work, not a sales team.

Ankara / Türkiye · Working across European and US time zones