The scoring engine and AI that helps founders make better strategic calls — backed by 1106+ real decisions with verified outcomes.
Live from 1106+ decisions
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The Problem
Every founder makes dozens of strategic calls a month. Kill the free tier. Hire a marketer instead of an engineer. Pivot the distribution model. But nobody tracks whether those calls were right.
You wouldn't run your product without analytics. Why are you running your strategy without a feedback loop?
Only on AD7
A composite score across 6 signals that measures how good you are at making startup decisions. It takes months to build, can't be faked, and gets sharper the more you use it.
How It Works
Takes 30 seconds to score a decision. The real value comes when you record what happened.
Log your decision and rate it across four weighted dimensions: Impact (40%), Effort (25%), Risk (20%), and Time-to-Value (15%). The system computes a composite score and classifies the action.
Implement the decision and record the outcome. Did it exceed expectations? Fall short? Revenue before and after, key metric changes, and implementation notes — all captured.
Compare your decision against similar ones in the directory. See benchmark data from other founders at your stage. AI analysis identifies patterns in what works and what does not.
Core Features
Four capabilities that close the loop between making a decision and knowing if it was right.
A weighted framework that scores every decision across four dimensions. Impact (40%), Effort (25%), Risk (20%), and Time-to-Value (15%) produce a composite score from 1 to 10 that determines the recommended action.
40%
Impact
25%
Effort
20%
Risk
15%
Time-to-Value
See how similar decisions played out for other founders. The directory aggregates anonymised outcomes by business type, stage, and category so you can benchmark your score against real results.
Based on SaaS pricing decisions scored 7.0+
Connect decisions to MRR impact. Record revenue at decision time and again after implementation. See the actual financial effect of each strategic call and build a feedback loop that improves future scoring.
Gemini-powered briefs analyse your decision context, scoring rationale, and comparable outcomes from the directory. Get a structured analysis covering risks, trade-offs, and recommended next steps.
AI Brief
Based on 12 similar SaaS pricing decisions, removing the free tier at your stage carries moderate risk. Founders who transitioned at £3k+ MRR saw 68% revenue growth within 90 days...
Beyond Scoring
Scoring is just the start. These tools help you decide faster, prove your judgment, and learn from the community.
Pre-built templates for common founder decisions — pricing changes, first hires, pivots, feature cuts. Each playbook includes guided questions, scoring benchmarks, and lessons from the directory.
Ask natural-language questions against the entire community decision dataset. "What pricing decisions worked for SaaS founders at pre-revenue?" — answered with real data, not opinions.
Track whether your predictions match reality. Your calibration score measures decision-making accuracy over time. Embed a verified badge on LinkedIn or investor decks to prove your judgment with data.
Deep market research for your business. Research competitor pricing across any product, discover manufacturers and suppliers, uncover tech stacks and funding data, and evaluate idea viability with real macro indicators.
Market Research
Whether you sell physical products or software, get the intelligence you need to price right, find suppliers, and understand your competitive landscape.
Search any product and instantly see what competitors charge, who manufactures it, and where to source it.
For digital products, get pricing, tech stack, payment methods, revenue estimates, and full funding history.
Real-time economic indicators from FRED, BLS, and Google Trends feed directly into your market context.
Score any business idea against market demand, competition density, timing, and macro conditions.
The Scoring Model
Scores are computed from four weighted dimensions and automatically classified into one of four action categories.
Score Range → Action
Execute Now
High confidence. Act immediately.
Optimise
Refine before committing resources.
Experiment
Validate with a controlled test first.
Deprioritise
Low impact or high risk. Reallocate.
Classification System
Scale
Proven signal. Double down on what is working and allocate more resources.
Optimise
Working but not fully validated. Improve efficiency before scaling.
Experiment
Promising but unvalidated. Run a controlled test before committing.
Kill
Underperforming. Cut losses and reallocate resources to higher-scoring opportunities.
Note: A "Kill" decision can score 9.2 — high confidence that cutting something will improve outcomes. The classification describes what to do. The score describes how certain you should be doing it.
Decision Directory
Browse 367 resolved decisions with outcomes from the public directory. Filter by business type, category, stage, and classification.
4.60
Score
4.75
Score
4.60
Score
6.85
Score
Built For
If you are making decisions that directly affect revenue, retention, or runway, this platform gives you the structure to make them well.
Choosing where to double down
Feature, channel, or market — scored and ranked by impact.
Pricing and monetisation
Free vs paid, tier structure, when to raise prices.
Build vs kill decisions
Know when to ship a feature and when to cut one.
Resource allocation
Small team, competing priorities. Allocate with data.
What Founders Say
The help of Advanced Data 7 has been monumental for us, they've catered to our needs and requests and made finding data so easy. Information that would take weeks and even months have been found in seconds...
Fashion Brand Owners
Highly Recommend
Case Studies
Deep dives into real startup decisions — scored across 4 dimensions, with verified outcomes. Learn from what worked and what didn't.
Start logging decisions for free. See how the scoring framework changes the way you prioritise. No credit card required.