How we use AI, where the data comes from, and how we protect your privacy. No fine print. No corporate speak. Just honest answers.
Core Principle
AI recommends. You decide.
At every stage, you control your journey. AI expands your options, provides real data, and surfaces patterns — but never makes a decision for you. Every recommendation can be dismissed, adjusted, or overridden.
You set your own priorities using sliders — how much you care about cost, time to career, starting pay, mid-career pay, environment fit, values fit, and flexibility. We multiply those weights against real data for each career. You can see exactly why something ranked #1, and you can adjust your priorities and re-score at any time.
All salary data, education requirements, and job outlook information come from the Bureau of Labor Statistics via O*NET — the same source used by the U.S. Department of Labor. Every career card is verified against O*NET before it reaches you. These are federal government numbers, not estimates.
Yes — and that's normal. You can dismiss any suggestion with "Not for me," and the AI learns from that feedback to improve future suggestions. For counselor-sent recommendations (Sparks), the counselor previews and approves every message before it reaches you. Nothing automated goes out without human review.
No. At every stage, the AI recommends — you decide. The AI generates options and scores, but you review, adjust priorities, select your own path, and can override any recommendation. Even after scoring ranks careers, you explicitly choose which path to pursue. You can pick #3 over #1.
It shows how likely a career is to be affected by artificial intelligence and automation, based on published research about automation exposure per occupation. Careers involving physical presence, human judgment, or complex interpersonal interaction score as more durable.
FMA uses OpenAI's models (GPT-4o and GPT-4o-mini) for generating questions, career suggestions, identity summaries, and action plans. The AI processes your inputs to generate personalized content — it does not store or retain your data between sessions.
No. College, trades, military, and direct-to-work paths are treated equally. If your answers point toward hands-on work, independence, and immediate earning, the AI will suggest electrician, HVAC, or welding before a four-year degree. We don't assume college is the default. The BLS data shows that many trade paths have better return on investment than college — and we show that math.
The AI is designed to expand horizons, not narrow them. There are over 12,000 career paths in the U.S. — the average high schooler can name about 30. FMA shows you options you didn't know existed. You can dismiss any suggestion, request more options at any time, and manually add any career you're curious about.
No. Dismissing "Genetic Counselor" doesn't mean you reject college or healthcare. It means you don't want that specific career. The AI continues suggesting healthcare careers or college paths if those align with your profile. Only the specific dismissed title is excluded.
No. Your data is never sold, shared with, or disclosed to colleges, employers, advertisers, or any third party. Period. You can delete your account and all associated data at any time.
Yes. FMA complies with FERPA (Family Educational Rights and Privacy Act), COPPA (Children's Online Privacy Protection Act), and applicable state student privacy laws including Colorado, California, Texas, and New York. We have a Data Processing Agreement (DPA) ready for district review.
Your Stage 1 answers (strengths, interests, values, environment, lifestyle), your location (for local salary data and employer suggestions), and your shortlisted careers. The AI does not see your name, email, school, grades, or any personally identifiable information beyond what is needed for personalized suggestions.
Counselors see your stage progress, self-discovery themes, shortlisted careers, and experiment reflections. They add private notes visible only to themselves. Counselors cannot see your raw Stage 1 answers — only the synthesized themes. You retain ownership of your data.
One click sends a personalized career suggestion to a student. The AI generates it from the student's profile with verified O*NET details — salary, education level, growth outlook, and a full description. You review and edit before it sends. The student sees it as a message from you, not from a system.
The dashboard sorts students by who needs attention first — students who stalled, whose scores dropped, or who haven't logged in. Action items surface at the top. Send a Spark takes 5 seconds per student. The product gives each student a personalized journey while the dashboard provides visibility into all of them.
Most career tools give students a report from a one-time assessment and leave them to figure out the rest. FMA provides a structured 5-stage journey — from self-discovery through real-world testing to a documented decision with a 30-day action plan. It treats all paths equally, includes real BLS salary data, and has an AI resilience indicator no other tool offers.
FMA is complementary, not a replacement. Naviance handles scattergrams, college lists, transcript tracking, and recommendation letters — FMA does not. FMA handles the upstream question no other tool addresses: helping students figure out which path to pursue in the first place. Students who complete FMA arrive at application season with clarity and intention — which makes every other tool more effective.
We’re happy to talk — no sales pitch required.
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futuremeanswered.com · Student data is never sold or shared.
FMA is a career exploration tool, not a psychological assessment or diagnostic instrument.