EV Battery Diagnostics &
Health Intelligence
A focused weekly execution roadmap to validate one real EV battery problem, build a simple MVP, collect industry feedback, and move toward the first paying customer or pilot.
The Focus Rule
For the next 12 weeks, we will focus only on:
EV Battery Diagnostics + Health Intelligence
To solve EV battery diagnostics and health intelligence for used EVs and second-life batteries, we must aggressively eliminate scope creep and stay laser-focused.
Product Direction
We are not building multiple products. We are simplifying. We are focusing on one painful EV battery problem and solving it end-to-end.
1. Problem
Can we reliably determine whether an EV battery is healthy, risky, reusable, or near failure?
2. Target Users
- Used EV dealers
- Fleet operators
- EV service centers
- Battery refurbishers
- Second-life battery companies
3. MVP Output
- Battery Health Score
- Failure Risk Detection
- Second-Life / Reusability Recommendation
12-Week Weekly Roadmap
Click on the status pill in any card to visually toggle its progress. Status updates sync automatically.
Define One Problem Clearly
Define exactly what problem we solve.
- Write one sentence: “We help ___ detect ___ before ___.”
- Example: “We help used EV stakeholders detect battery degradation before costly replacement.”
- Define target customer.
- Define customer pain.
- Define current manual process.
- Define cost of failure.
- Define why existing methods are weak.
- Create a 1-page problem statement.
- Create a 5-slide pitch.
- Create a simple architecture diagram.
Customer Discovery
Talk to real people and understand actual pain.
- Reach out to EV service centers.
- Reach out to used EV dealers.
- Reach out to fleet operators.
- Reach out to battery refurbishers.
- Reach out to EV startups.
- Conduct at least 10 conversations.
- Ask about battery problems, diagnostic challenges, failure cases, warranty issues, and resale trust issues.
- Do not sell. Only learn.
Define MVP
Reduce scope brutally.
- Finalize one use case.
- Finalize one workflow.
- Finalize one demo scenario.
- Define input data: voltage, temperature, SOC, charging behavior.
- Define output: health score, abnormality warning, reuse recommendation.
- Remove all non-essential features.
Data Strategy
Define how battery data enters the system.
- Use public datasets.
- Use PyBaMM simulation.
- Use manually generated sample telemetry.
- Create common battery data schema.
- Create JSON sample logs.
- Create test datasets for normal, degraded, and risky battery behavior.
Intelligence Prototype
Build first intelligence layer.
- Implement simple anomaly detection OR health scoring OR degradation trend detection.
- Use Python.
- Keep logic simple and explainable.
- Avoid overengineering.
- Generate sample output from battery data.
Dashboard / UI
Make the intelligence visible.
- Build simple UI.
- Allow upload or loading of sample battery data.
- Show battery health score.
- Show warning/risk level.
- Show recommendation.
- Keep UI clean and demo-ready.
End-to-End Demo
Show complete flow.
- Battery data input.
- Analysis.
- Health intelligence.
- Risk alert.
- Recommendation.
- Record short demo video.
- Prepare demo script.
Industry Feedback
Validate with industry.
- Show demo to 5 experts.
- Include EV startups, professors, service engineers, and fleet/service contacts.
- Ask what is useful.
- Ask what is missing.
- Ask whether they would use it.
- Ask whether they would pay for it.
- Capture all feedback.
Improve One Critical Feature
Improve only the most valuable feature.
- Select only one improvement based on feedback.
- Improve accuracy OR usability OR visualization OR reporting.
- Do not improve everything.
- Keep the MVP focused.
Create Business Story
Make the product commercially understandable.
- Create ROI slide.
- Define customer pain.
- Define business impact.
- Define cost/risk reduction.
- Define future roadmap.
- Define pricing assumptions.
Pilot Outreach
Find first pilot.
- Approach EV startups.
- Approach service centers.
- Approach fleet operators.
- Approach battery labs.
- Offer diagnostics assessment or evaluation support.
- Ask for pilot collaboration.
Finalize Direction
Decide long-term direction.
- Review what worked.
- Review strongest customer pain.
- Review technical feasibility.
- Review revenue possibility.
- Finalize next 6-month roadmap.
- Finalize customer segment.
- Finalize product positioning.
Weekly Status Dashboard
Review the complete plan at a glance. Cycle status pills by clicking them.
| Week | Goal | Key Action Items | Expected Result | Status | Notes |
|---|---|---|---|---|---|
| Week 1 | Define exactly what problem we solve. |
| We can explain the product clearly in 30 seconds, 2 minutes, and 5 minutes. | ● Completed | Define core target customer & pain point |
| Week 2 | Talk to real people and understand actual pain. |
| Identify repeated battery pain patterns and actual industry urgency. | ● In Progress | Targeting 10+ conversations; no sales pitches |
| Week 3 | Reduce scope brutally. |
| Clear MVP scope document. | ● Not Started | Brutal scope reduction, single workflow focus |
| Week 4 | Define how battery data enters the system. |
| Usable demo/test dataset ready. | ● Not Started | Synthetic and simulation telemetry setup |
| Week 5 | Build first intelligence layer. |
| First working battery intelligence engine. | ● Not Started | Focus on explainable anomaly detection |
| Week 6 | Make the intelligence visible. |
| Working visual demo. | ● Not Started | Clean upload and visualization screen |
| Week 7 | Show complete flow. |
| First real demonstrable product. | ● Not Started | Self-contained workflow demo video |
| Week 8 | Validate with industry. |
| Real market feedback. | ● Not Started | Qualitative feedback from 5 partners |
| Week 9 | Improve only the most valuable feature. |
| Sharper MVP. | ● Not Started | Avoid feature creep, refine value driver |
| Week 10 | Make the product commercially understandable. |
| Business-ready pitch. | ● Not Started | ROI calculation and commercial slide deck |
| Week 11 | Find first pilot. |
| 1–3 serious pilot discussions. | ● Not Started | Generate 1-3 pilot agreements |
| Week 12 | Decide long-term direction. |
| Clear product direction, MVP learning, market understanding, and next-stage execution plan. | ● Not Started | Transition to formal 6-month roadmap |
Week 12 Success Criteria
Our objective measures of success upon concluding the 12-week roadmap.
1 working MVP
A functional diagnostic engine with clean UI and sample data.
3–5 industry discussions
Direct validation sessions with industry practitioners and decision makers.
1 pilot opportunity
A concrete path toward deploying our software in a real testing environment.
1 customer pain validation
Immutable feedback from used EV dealers or fleet managers confirming pain.
1 demo video
A screen recording showing the upload flow, score output, and recommendations.
1 business pitch
A 5-10 slide deck detailing problem, target audience, business model, and ROI.
1 clear roadmap
Validated next steps and customer integration plan for the following 6 months.
“Do not complicate.
Simplify until the customer problem becomes obvious.”
The goal is not to build a big platform immediately. The goal is to find one painful EV battery problem, solve it clearly, validate it with real users, and convert it into a repeatable business outcome.
Ready to begin execution?
Let's maintain extreme discipline and drive focus to validate this second-life battery intelligence direction.