The Research Engine — How IdeaFuel Validates Your Idea
The research engine is IdeaFuel's multi-phase AI pipeline that takes the data points from your interview and validates them against real-world market signals, competitor activity, social conversations, and demand indicators. It is the core of what makes IdeaFuel more than a questionnaire.
You answer questions about your idea. The research engine answers questions about the market.
In a nutshell: After your interview, IdeaFuel automatically runs a multi-step research process — scanning the web, analyzing social channels, synthesizing findings, and generating scored reports. SPARK interviews take about 5 minutes. LIGHT and IN_DEPTH interviews trigger a deeper pipeline that takes 30–60 minutes. You get back four key scores and up to nine detailed reports.
What does the research engine investigate?#
The engine doesn't just Google your idea. It runs structured investigations across six areas, each designed to answer a specific strategic question.
| Research area | What it answers |
|---|---|
| Market landscape | How big is this opportunity? Who are the existing players? |
| Competitor activity | What are competitors doing well? Where are the gaps? |
| Customer signals | Are real people talking about this problem? What language do they use? |
| Timing & trends | Is demand growing, flat, or declining? What macro forces are at play? |
| Demand validation | Is there evidence that people would pay for a solution like yours? |
| Keywords & discoverability | What are people searching for? How hard would it be to rank? |
Example
For your AI-powered tutoring app for college students, the engine might discover that searches for "AI tutor" have grown 340% in the past 12 months, that three funded competitors exist but none integrate with university syllabi, and that Reddit threads in r/college consistently mention frustration with generic tutoring platforms. All of that flows into your scores and reports.
What are the research phases?#
The research engine runs in four sequential phases. Each phase builds on the one before it. Here is what happens at each step — no technical jargon required.
Phase 1 — Deep Research
IdeaFuel's AI searches the open web for information related to your idea's market, competitors, and customer landscape. It reads and synthesizes articles, reports, company pages, funding announcements, and product reviews. Think of it as a research analyst spending hours reading — compressed into minutes.
This phase uses advanced AI models to conduct thorough, structured web searches. It doesn't just pull snippets; it reads full pages and extracts relevant data points.
Phase 2 — Social Research
The engine scans social platforms — Reddit, Twitter/X, and Hacker News — for organic conversations about the problem you are solving. It looks for complaints, feature requests, product recommendations, and sentiment patterns.
Social research matters because it captures unfiltered customer language. The words real people use to describe their frustrations become inputs for your Customer Profile and Keywords & SEO reports.
Phase 3 — Analysis & Synthesis
Raw data from the first two phases is analyzed, cross-referenced, and distilled into structured findings. The AI identifies patterns, contradictions, and gaps. It compares what you told it in the interview against what it found in the research.
This is where your four scores are calculated. Each score reflects a specific dimension of your idea's viability, weighted by the strength and consistency of the evidence found.
Phase 4 — Report Generation
The synthesized findings are formatted into your reports. Each of the nine report types pulls from different slices of the research data. Reports are generated in the tier that matches your subscription and interview mode.
Note: All four phases run automatically after your interview. You do not need to configure or trigger anything manually.
How do I understand my scores?#
IdeaFuel produces four scores, each rated 0–100. These scores are not grades — they are calibrated assessments based on the evidence the research engine found. A score of 60 does not mean you are "failing." It means there is moderate evidence supporting that dimension of your idea.
Opportunity Score (0–100)
What it measures: The overall size and attractiveness of the market you are entering. It factors in market size, growth rate, competitive density, and unmet demand.
- 80–100: Large, growing market with clear gaps. Strong signal.
- 60–79: Solid market with some competition. Worth pursuing with differentiation.
- 40–59: Market exists but may be crowded or niche. Validate further.
- Below 40: Limited evidence of meaningful market opportunity. Reconsider scope.
Problem Score (0–100)
What it measures: How real, painful, and widespread the problem is that you are solving. It looks at social mentions, complaint frequency, existing spending on workarounds, and severity indicators.
- 80–100: People are actively spending money or significant time to solve this problem today.
- 60–79: The problem is real and acknowledged, but current solutions may be "good enough" for some.
- 40–59: Mixed signals. Some people feel it, others don't. Narrow your target.
- Below 40: Hard to find evidence that this is a pressing problem. Revisit your customer definition.
Feasibility Score (0–100)
What it measures: How realistic it is to build and deliver your proposed solution given current technology, regulations, costs, and your stated resources. It also considers founder-market fit if you provided background information in an IN_DEPTH interview.
- 80–100: Technically straightforward, no major regulatory barriers, reasonable cost structure.
- 60–79: Achievable but with notable challenges (technical complexity, partnerships needed, capital requirements).
- 40–59: Significant hurdles identified. Review the risks section of your Business Plan report.
- Below 40: Major feasibility concerns. The research found blockers you should address before proceeding.
Why Now Score (0–100)
What it measures: Whether market conditions, technology shifts, regulatory changes, or cultural trends make this the right moment for your idea. A great idea at the wrong time still fails.
- 80–100: Strong tailwinds — recent catalysts clearly favor this concept.
- 60–79: Favorable conditions exist, but timing isn't urgent. You have a window.
- 40–59: Neutral timing. No strong forces pushing for or against.
- Below 40: The research didn't find compelling evidence for why this idea works now versus two years ago.
Tip: Don't obsess over any single score in isolation. Read them together. An idea with a high Opportunity Score but low Feasibility Score tells a different story than one with moderate scores across the board. Use the scores as a starting point, then dig into the reports for the reasoning behind each number.
Example
Your AI-powered tutoring app for college students might score: Opportunity 78, Problem 82, Feasibility 65, Why Now 85. Translation: the problem is very real, timing is excellent (AI capabilities just became good enough, post-pandemic demand for flexible learning is high), the market is strong, but there are feasibility challenges — perhaps the university partnership model is complex. Your Business Plan report would detail those challenges and suggest mitigations.
Does research quality differ by subscription tier?#
Yes. Your subscription tier affects the depth and breadth of the research conducted.
| Capability | Free | Pro | Enterprise |
|---|---|---|---|
| Deep Research depth | Standard web search | Enhanced search with broader source coverage | Premium search with proprietary data sources |
| Social Research channels | Reddit + Twitter/X | Reddit + Twitter/X + Hacker News + niche forums | |
| Analysis depth | Core analysis | Extended analysis with nuanced insights | Comprehensive analysis with sector-specific models |
| Report tier access | BASIC | PRO | FULL |
| Interview modes | SPARK, LIGHT | SPARK, LIGHT, IN_DEPTH | SPARK, LIGHT, IN_DEPTH |
Pro Feature: Pro and Enterprise subscribers receive richer competitor analysis, deeper social sentiment data, and access to more detailed report sections. If your Free-tier results are promising, upgrading before re-running the interview can reveal significantly more insight.
How can I track research progress?#
Your dashboard shows a real-time status indicator for each active research run. You will see which phase is currently executing and an estimated time remaining.
| Status | What it means |
|---|---|
| Interviewing | You are still in the interview. Research has not started yet. |
| Researching | Phase 1 (Deep Research) or Phase 2 (Social Research) is running. |
| Analyzing | Phase 3 (Analysis & Synthesis) is processing your data. |
| Generating Reports | Phase 4 is building your reports. Almost done. |
| Complete | Everything is ready. Click through to view your scores and reports. |
| Failed | Something went wrong. See below for next steps. |
IdeaFuel sends you an email notification when your research completes. You do not need to keep the browser open.
How long does research take?#
Research time depends on which interview mode you used.
- SPARK interviews trigger the fast pipeline. Results are typically ready in about 5 minutes.
- LIGHT and IN_DEPTH interviews trigger the full deep research pipeline. Results typically take 30–60 minutes, depending on the complexity of your market and the volume of available data.
Occasionally, research may take longer than 60 minutes if the engine encounters unusually large amounts of data to process. This is normal and usually means your market has a lot of signal — which is a good sign.
Note: Research time is measured from the moment your interview ends, not from when you started it. The clock begins when you submit your final answer.
What if my research fails?#
Research failures are rare but can happen due to temporary issues with external data sources. Here is what to do.
- Check the status indicator on your dashboard. If it shows "Failed," click into the project for details.
- Retry the research. Your dashboard includes a "Retry Research" button that re-runs the pipeline using your existing interview data. You do not need to redo the interview.
- Wait a few minutes and try again. Most failures are caused by temporary upstream issues that resolve on their own.
- Contact support. If retrying doesn't work after two attempts, reach out to the IdeaFuel support team. Include your project name and the approximate time the failure occurred so the team can investigate quickly.
Tip: Retrying research does not consume an additional interview credit. You are only charged for the interview itself, not the research runs.