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VALIDATION_PLAYBOOK.md
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VALIDATION_PLAYBOOK.md
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# VALIDATION PLAYBOOK
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**Ziel:** Schnell validieren, ob SmartMeter-App ein echtes Problem löst
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**Dauer:** 2-3 Wochen
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**Output:** GO/NO-GO Entscheidung mit Daten
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---
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## PHASE 0: Interviews mit Entscheidungsträgern
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### Zielgruppe
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```
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Pro Stadtwerk: 2-3 Personen
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1. IT-Leiter (Technical, Integration-Fragen)
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2. Kundenservice-Leiter oder Betriebsleiter (Use Case, ROI)
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3. CFO/Geschäftsführer (Budget, Priority)
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Total Target: 10-15 Stadtwerke
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= 20-45 Interviews
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```
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### Kontakt-Strategie
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**Tiered Approach:**
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```
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Tier 1 (Known): Bestehende Kontakte
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- LinkedIn Outreach zu IT Directors
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- Existierende Geschäftspartner
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- Networking Events (VKU)
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Tier 2 (Warm): Via Referrals
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- Ask friends/advisors for intros
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- Chamber of Commerce
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- Industry associations
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Tier 3 (Cold): Direct Outreach
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- LinkedIn Messages
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- Email to general contacts
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- VKU member database
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Template Email:
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---
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Subject: 15-Min Interview: Smart Meter Lösung für Stadtwerke
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Hallo [Name],
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wir entwickeln eine mobile App zur automatisierten Zählerablesung
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für Stadtwerke. [Your Company] hat Expertise in diesem Bereich und
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wir möchten von dir lernen.
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Hätte du Zeit für ein 15-Min Call diese Woche? Gerne telefonisch
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oder per Zoom.
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Danke!
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[Your Name]
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---
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```
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---
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## Interview Guide
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### PART A: Problem Discovery (5 Min)
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**Q1: Current State**
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```
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"Wie funktioniert eure Zählerablesung heute?"
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Expected Answers (flag if they say):
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- Manual reading by customer
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- Reading by technician
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- Automated meter (smart meter)
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- Mix of the above
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Red Flag: If 100% automated already → No problem to solve
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Green Flag: If manual + high error rate → Good fit
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```
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**Q2: Problem Validation**
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```
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"Wie viel Zeit/Kosten investiert ihr jährlich in Zählerablesung?"
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Deep Dive:
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- "Wie viele Zählerstände werden abgelesen pro Jahr?"
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- "Wer macht das - Mitarbeiter oder Kunden?"
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- "Wie hoch ist die Fehlerquote?" (Ziel: >20% = pain point)
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- "Was kostet euch jede manuelle Ablesung?"
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Example Math:
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- 100K Kunden × 1 reading/year = 100K readings
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- 30% need manual follow-up = 30K manual readings
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- @€2 per reading = €60K/year cost
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Red Flag: Low error rate (<5%) or low cost (<€20K) → not a pain point
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Green Flag: >20% error rate or >€50K/year cost → worth solving
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```
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**Q3: Current Frustrations**
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```
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"Welche sind eure Top 3 Probleme mit dem aktuellen Process?"
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Listen for:
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- Customer disputes over readings
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- Staff effort (time-consuming)
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- Data quality issues
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- Customer complaints (feedback)
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- Billing inaccuracies
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Probe deeper on each:
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- "How often does this happen?"
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- "What's the impact?" (Cost? Customer satisfaction?)
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- "Who feels the pain most?" (Support team? Finance? Customers?)
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```
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---
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### PART B: Solution Fit (5 Min)
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**Q4: Appetite for Change**
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```
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"Würdet ihr eine Mobile App für die Zählerablesung einführen?"
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Expected Answers:
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A) "Yes, if it solves [specific problem]"
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B) "Maybe, but we need to think about it"
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C) "No, not interested"
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D) "We're already evaluating solutions"
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Green Flag: Answer A or D
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Red Flag: Answer C or B (lukewarm interest)
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Follow-up:
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- "What would make this compelling for you?"
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- "What would be blockers?"
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- "Timeline - when would you need this?"
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```
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**Q5: Customer Adoption Likelihood**
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```
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"Glaubst du, dass deine Kunden eine App nutzen würden
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zur Zählerablesung?"
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Dig deeper:
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- "What % of your customers would use it?" (Target: >20% = viable)
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- "What incentives would help adoption?"
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- Free (most customers don't care)
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- Small discount (€1-2/year per reading)
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- Instant feedback (meter consumption insights)
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- "Would you push it to customers or wait for demand?"
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Red Flag: <10% adoption estimate
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Green Flag: >20% adoption estimate
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```
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**Q6: Integration Feasibility**
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```
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"Welche Systeme nutzt ihr für Kundenmanagement?"
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Record:
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- Billing system (SAP, Oracle, Infor, etc.)
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- CRM (Salesforce, etc.)
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- Meter database (own, external, etc.)
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- IT infrastructure (on-prem, cloud, hybrid)
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Follow-up:
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- "How open is your IT for external integrations?"
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- "Who would need to approve this?"
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- "Do you have an API layer?"
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Red Flag: Very legacy, no API access, slow approval
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Green Flag: Modern stack, willing to integrate
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```
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---
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### PART C: Commercial Viability (3 Min)
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**Q7: Budget & Pricing**
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```
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"Wie viel würdet ihr für eine Lösung budgetieren?"
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Open-ended first:
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- Listen to their thinking
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- Don't anchor them to your price
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Then probe:
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- "Is that annual or one-time?"
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- "Would you pay monthly/yearly/license?"
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- "What's the ROI threshold?" (Typical: payback in 1-2 years)
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Red Flag: Budget <€20K/year or willing to pay only if risk-free
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Green Flag: Budget >€50K/year, willing to invest for ROI
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```
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**Q8: Decision Making Process**
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```
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"Wie würde so eine Entscheidung ablaufen?"
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Map:
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- Who needs to approve? (Budget owner, IT, Board?)
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- Timeline? (Fast-track vs. normal process)
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- RFP required? (Or can you do handshake deal?)
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- Contract terms? (1-year, 3-year, multi-year discount?)
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Red Flag: Requires months-long RFP, many approvers, slow
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Green Flag: Can decide quickly, fewer stakeholders
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```
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**Q9: Switching Costs**
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```
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"Wenn die App nicht funktioniert, wie schnell könnt ihr
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rückwärts gehen?"
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This matters because:
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- High switching costs = stickier customer
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- Easy exit = customer feels safer trying
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Answer:
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- "We'd just stop recommending it to customers"
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- "We'd need to ramp down over X months"
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- etc.
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Green Flag: Easy to exit → customer feels safe to try
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```
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---
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### PART D: Follow-Up / Qualification (2 Min)
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**Q10: Next Steps**
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```
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"Wäre es interessant, wenn wir euch eine Demo/Beta
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im nächsten Monat zeigen?"
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Clear YES:
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- "Yes, I want to see this"
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- "Yes, let's do a pilot"
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Soft YES:
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- "Maybe, depends on what I see"
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- "Let me talk to my team first"
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NO:
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- "Not right now"
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- "We're happy with our current approach"
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Green Flag: Clear YES → Schedule demo/pilot for them
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Soft YES: Send materials, follow up in 2 weeks
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NO: Thank them, add to "maybe later" list
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```
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**Q11: Introductions**
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```
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"Kennst du andere Stadtwerke, die ähnliche Probleme haben?"
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Goal: Get warm referrals
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- "Can you introduce me to [competitor]?"
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- "Would you be willing to be a reference?"
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Green Flag: YES on both → builds your network, proof
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```
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---
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## Data Collection Template
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Create a Spreadsheet with:
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```
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| Stadtwerk | Size | Contact | Q1 Method | Q2 Cost/Error | Q3 Pain | Q4 Appetite | Q5 Adoption | Q6 Integration | Q7 Budget | Q8 Timeline | Score | Notes |
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|-----------|------|---------|-----------|----------------|---------|-------------|------------|-----------------|-----------|-----------|-------|-------|
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| Stadt A | 100K | John D. | Manual 50%| €60K, 30% err | High | Yes | 30% | SAP, open | €80K | 2 months | 9/10 | Hot lead |
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| Stadt B | 50K | Jane S. | Manual 70%| €40K, 25% err | Medium | Maybe | 15% | Legacy, closed | €30K | 6 months | 5/10 | Cold |
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```
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---
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## GO / NO-GO Decision Framework
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### Scoring Matrix
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Assign points (1-10) for each question:
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```
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Q1: Current Manual Process = ___ / 10
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(1 = fully automated, 10 = fully manual)
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Q2: Annual Cost/Pain = ___ / 10
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(1 = <€10K cost, 10 = >€100K cost)
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Q3: Frustration Level = ___ / 10
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(1 = not a priority, 10 = huge pain)
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Q4: Appetite for Change = ___ / 10
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(1 = no, 10 = ready to sign today)
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Q5: Customer Adoption = ___ / 10
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(1 = <5%, 10 = >50%)
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Q6: Integration Feasible = ___ / 10
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(1 = impossible, 10 = very easy)
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Q7: Budget Available = ___ / 10
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(1 = <€20K, 10 = >€100K)
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Q8: Fast Decision = ___ / 10
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(1 = >6 months, 10 = <1 month)
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TOTAL SCORE = Sum of all 8 / 8 × 10 = ___ / 10
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```
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### Go/No-Go Thresholds
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```
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SCORE 8-10: HOT LEADS (Definitely pursue)
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- Validate further with second/third meetings
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- Structure a pilot/POC
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- These are your first customers
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SCORE 6-7: WARM LEADS (Worth pursuing)
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- Keep in pipeline
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- Send materials, stay in touch
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- Re-engage in 3 months
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SCORE 4-5: COOL LEADS (Maybe later)
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- Add to "monitor" list
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- Market conditions may change
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- Re-approach in 6 months
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SCORE <4: COLD LEADS (Not a fit now)
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- Don't waste time
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- Maybe re-approach if product evolves
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```
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### Portfolio Requirements for GO Decision
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After 10-15 interviews, you need:
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```
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✅ GO Signal if:
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- 5+ Hot Leads (score 8-10) with €50K+ budget each
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- OR 10+ Warm Leads (score 6-7) that could grow into hot
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- Average adoption estimate: >20%
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- Average budget: >€50K/year
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- Market size (sum of budgets): >€500K
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❌ NO-GO Signal if:
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- <3 Hot Leads
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- Average score <5
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- Average adoption <10%
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- Market size <€300K
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- Pattern of "we'll wait and see"
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```
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---
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## Competitive Positioning
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During interviews, also ask:
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```
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"Are you evaluating any other solutions?"
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Typical answers:
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A) "Yes, we're in RFP with SAP/Oracle"
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B) "No, but considering some options"
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C) "Not actively, but open to ideas"
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D) "We tried something similar, didn't work"
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Analysis:
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- A: You're late, but potentially better/cheaper/faster
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- B: You're in conversation, good timing
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- C: You're educating the market, need strong proof
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- D: Understand what failed, position differently
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Use competitive insights to position your MVP:
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- Faster to market vs. SAP
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- Cheaper than Oracle (€50K vs. €200K+)
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- Mobile-first (better UX)
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- Customizable (specific to Stadtwerke)
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```
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---
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## Timeline & Execution
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### Week 1: Prep & Recruiting
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```
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Mon-Tue:
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- Create interview guide (this doc)
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- Build data collection spreadsheet
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- Create email template
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Wed-Fri:
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- Start outreach (LinkedIn, email, phone)
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- Target: 10-15 interviews scheduled
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Tools:
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- Calendly for scheduling
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- Zoom for remote calls
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- Google Sheets for data
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```
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### Week 2-3: Conduct Interviews
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```
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Goal: 10-15 interviews (2 per day)
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Prep for each:
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- Research company (size, industry focus)
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- Prepare notes
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- Test audio/video
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During:
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- Record (with permission) or take notes
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- Be friendly, genuine, listening-focused
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- Don't pitch hard (listen more than talk)
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After:
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- Score each interview
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- Add to spreadsheet
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- Send thank you note + case study PDF
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Time per interview: 20-30 min (including travel/setup)
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Total time: ~10 hours for 15 interviews
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```
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### Week 4: Analysis & Decision
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```
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Mon-Tue:
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- Score all interviews
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- Aggregate data in spreadsheet
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- Create summary report
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Wed:
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- Team discussion
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- GO/NO-GO vote
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Thu-Fri:
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- If GO: Contact top Hot Leads about pilot
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- If NO-GO: Pivot to different pain point or market
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```
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---
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## Sample Report Template
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After Week 3, create:
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```
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# VALIDATION REPORT: SmartMeter-Lite App
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Date: [Date]
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Conducted by: [Name]
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## Executive Summary
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- 12 Interviews conducted
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- 7 Hot Leads (58%), 3 Warm Leads (25%), 2 Cold (17%)
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- Average budget: €65K/year
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- Market opportunity: €780K in year 1
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- **Recommendation: GO** ✅
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## Key Findings
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1. Manual meter reading is REAL pain
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- Avg cost: €50K/year per Stadtwerk
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- Avg error rate: 28%
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- Top frustration: Customer disputes
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2. Market appetite is strong
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- 58% very interested (Hot)
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- 25% interested (Warm)
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- Would pay avg €65K/year
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3. Integration is manageable
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- 75% have API-accessible systems
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- 60% can integrate within 3-6 months
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- Legacy systems are minority
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4. Customer adoption is solid
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- Avg expected adoption: 25%
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- Range: 10-40%
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- Key: Make it optional (don't force)
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## Top Hot Leads
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1. Stadtwerke München (100K households, €120K budget, Ready Now)
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2. Stadtwerke Köln (80K households, €100K budget, 2-month timeline)
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3. Stadtwerke Hamburg (120K households, €150K budget, 3-month timeline)
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## Risk Factors
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- SAP/Oracle competition (but they're slow)
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- DSGVO compliance needed (doable)
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- Integration complexity (manageable)
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## Next Steps
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1. Schedule pilots with top 3 Hot Leads
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2. Get signed LOI (Letters of Intent)
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3. Begin development in Week 5
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4. Deliver MVP in 12 weeks
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```
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|
||||
---
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||||
|
||||
## Key Metrics to Track
|
||||
|
||||
After validation, you have:
|
||||
|
||||
```
|
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√ Market Size: €X (sum of budgets from interviews)
|
||||
√ Win Rate: Y% (Hot Leads / Total)
|
||||
√ Sales Cycle: Z months (from interviews)
|
||||
√ Product-Market Fit Score: __ / 10
|
||||
√ Competitive Landscape: [Summary]
|
||||
√ Go-to-Market Strategy: [Clear approach]
|
||||
```
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||||
|
||||
These become your baseline KPIs.
|
||||
|
||||
---
|
||||
|
||||
## What NOT to Do
|
||||
|
||||
❌ **Don't pitch too hard**
|
||||
- Interviews are for listening, not selling
|
||||
- If they're interested, they'll ask for more
|
||||
|
||||
❌ **Don't overcommit**
|
||||
- "We can integrate with anything" - No, be honest
|
||||
- "We can do custom features" - Not in MVP
|
||||
|
||||
❌ **Don't ask leading questions**
|
||||
- "You have problems with meter reading, right?" (Yes)
|
||||
- Better: "Walk me through your process" (more honest)
|
||||
|
||||
❌ **Don't ignore red flags**
|
||||
- "Maybe next year" = Not a hot lead
|
||||
- Lukewarm interest is not enough
|
||||
|
||||
❌ **Don't over-engineer based on feedback**
|
||||
- "We'd want X, Y, Z features"
|
||||
- Don't add them to MVP - they add time/cost
|
||||
- Just build #1 really well
|
||||
|
||||
---
|
||||
|
||||
## Success Looks Like
|
||||
|
||||
✅ You have 5+ Hot Leads wanting to pilot
|
||||
✅ You have 3+ Letters of Intent (LOI)
|
||||
✅ You understand the real problem deeply
|
||||
✅ You have clear competitive positioning
|
||||
✅ You know your Unit Economics (€15-30K CAC, €80-120K ACV)
|
||||
✅ You're confident in 20%+ adoption rates
|
||||
✅ You can articulate WHY Stadtwerke need this
|
||||
|
||||
If you have all of this, you're ready to build.
|
||||
|
||||
---
|
||||
|
||||
**Document Status:** Ready to execute
|
||||
**Time to Complete:** 3-4 weeks
|
||||
**Output:** GO/NO-GO + 5+ pilot customers (if GO)
|
||||
Reference in New Issue
Block a user