Customer JTBD Mining

Jobs-to-Be-Done analysis from customer interviews

// The problem

'What does our customer actually want from us' is critical for marketing + product. Customer interviews are done but insights don't get synthesized, stay in slides.

// What it does

Takes sales call transcripts, support conversations, customer interview texts. Analyzes in JTBD framework (functional, emotional, social job). Switching forces extraction (why leaving current solution).

// Value

Customer insight production 2 weeks → 2 hours

Marketing messages and product roadmap fed from actual customer voice.

Setup time: 3-5 gün

// How it works

  1. 01

    Konuşma transkript upload (multiple sources)

  2. 02

    JTBD framework: functional / emotional / social job

  3. 03

    Switching forces: push (eski çözümden), pull (yenisine), anxiety (riskler), habit (alışkanlık)

  4. 04

    Müşteri quote'larıyla desteklenmiş insights

  5. 05

    Opportunity ranking (en sık dile gelen)

  6. 06

    Pazarlama + ürün ekibine actionable rapor

// Real example

Bir B2B SaaS marketing 30 sales call transcript yükledi. JTBD Mining: "Functional job: 'Tahsilat sürecini hızlandırmak'. Emotional: 'Patron olarak finansal kontrolden çıkmaktan korkmak'. Social: 'Modern, dijital şirket görünmek'. Push: Excel ile karışıklık. Pull: gerçek zamanlı görünürlük."

// Trigger

Manuel transcript upload

// Output channels

PDFEmailNotionSlack

// Integrations

GranolaOtter.aiNotionGongChorus

// Limits (honest)

  • ×Transcript kalitesi = insight kalitesi
  • ×JTBD framework her ürün için uygun değil (commodity ürünlerde zayıf)
  • ×5+ transcript önerilir, daha azında pattern zayıf

// SSS

01.Sadece sales call mi?+

Sales + support + müşteri interview + survey free-text — hepsi.

// Tech stack

OpenAI GPT-4JTBD framework
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