
CCC Intelligent Solutions — Product Designer (Engineering) Case Interview
What this case covers: A 60‑minute, whiteboard‑style product design exercise modeled on CCC’s real design interviews. The scenario focuses on improving a workflow in CCC’s auto‑claims ecosystem (insurers, repair facilities, OEMs) and evaluating trade‑offs for AI‑enabled features. You’ll be asked to frame the problem, map key users (e.g., carrier adjuster, estimator, shop owner, vehicle owner), sketch flows/wireframes, define success metrics, and communicate how you’d validate and iterate. Why this fits CCC’s style and culture: CCC’s design teams emphasize design thinking, rigorous user research with collision‑repair stakeholders, and rapid prototyping to de‑risk decisions before engineering investment. Expect interviewers to probe how you empathize with repairers and carriers, structure ambiguity, and collaborate cross‑functionally. Hackathon- and experimentation-friendly culture means interviewers value scrappy, testable ideas backed by clear hypotheses. ([builtinla.com](https://www.builtinla.com/articles/ccc-intelligent-solutions-uses-design-thinking?utm_source=chatgpt.com), [builtinaustin.com](https://www.builtinaustin.com/articles/ccc-intelligent-solutions-uses-design-thinking?utm_source=chatgpt.com), [cccis.com](https://www.cccis.com/about/careers?utm_source=chatgpt.com)) Typical panel and format: Based on recent interview reports, you’ll generally meet with a small panel (often 3–4 people across Design, PM, and Engineering) in a panel/presentation format; some teams add a short behavioral segment and portfolio discussion. Onsite or virtual panels are common. ([glassdoor.com](https://www.glassdoor.com/Interview/CCC-Intelligent-Solutions-Interview-Questions-E4574.htm?utm_source=chatgpt.com), [static.glassdoor.co.uk](https://static.glassdoor.co.uk/Interview/CCC-Intelligent-Solutions-Interview-Questions-E4574.htm?utm_source=chatgpt.com)) Case structure (suggested flow used by CCC teams): - 0–5 min: Context check — restate the problem, confirm constraints (e.g., carrier guidelines, compliance, data availability). - 5–15 min: Users, jobs-to-be-done, and environment — claims lifecycle, shop operations, adjuster needs, moments of truth after FNOL. - 15–35 min: Sketch core flow(s) and IA — low‑fi wireframes for the primary user path; call out AI touchpoints (photo estimating, triage, fraud signals) and failure states. - 35–50 min: Trade‑offs and prioritization — propose an MVP, dependencies (data, integrations with CCC ONE/adjacent apps), risks, and experiment plan. - 50–60 min: Metrics and readout — define success (e.g., cycle time, supplement rate, estimate accuracy, NPS/CSAT, time‑to‑first‑action) and how you’d validate with users. Example prompts you might get: - Design a mobile‑first experience that helps a repair facility submit complete, AI‑assisted photo documentation to reduce supplements by 10% within CCC’s claims workflow. - Redesign the adjuster’s damage‑review screen to improve estimate consistency and reduce time‑to‑approval, while keeping repairers’ documentation effort low. - Create a guided intake that helps vehicle owners complete FNOL in under 5 minutes, balancing regulatory disclosures and photo capture quality. What interviewers evaluate: - Problem framing and user empathy for CCC’s multi‑sided network (insurers, repairers, OEMs, drivers). - Systems thinking across the claims lifecycle; ability to design for handoffs and policy constraints. - Data/AI literacy: when and how to use AI features, confidence thresholds, explainability, and fallback paths. - Communication and collaboration with PM/Eng; rationale and trade‑off clarity under time pressure. - Outcomes mindset: crisp KPIs, experiment design, and iteration plan aligned to CCC’s “intelligent experiences” mission. ([cccis.com](https://www.cccis.com/about/careers?utm_source=chatgpt.com), [interviewquery.com](https://www.interviewquery.com/interview-guides/ccc-intelligent-solutions-inc?utm_source=chatgpt.com)) What to bring: Think‑aloud approach, markers (or digital whiteboard), a simple structure (e.g., Empathize→Define→Ideate→Prototype→Test), and a metric‑led readout. CCC’s teams explicitly reference design thinking and expect clear user‑research assumptions and quick, testable prototypes. ([builtinla.com](https://www.builtinla.com/articles/ccc-intelligent-solutions-uses-design-thinking?utm_source=chatgpt.com), [builtinaustin.com](https://www.builtinaustin.com/articles/ccc-intelligent-solutions-uses-design-thinking?utm_source=chatgpt.com))
60 minutes
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About This Interview
Interview Type
PRODUCT SENSE
Difficulty Level
3/5
Interview Tips
• Research the company thoroughly
• Practice common questions
• Prepare your STAR method responses
• Dress appropriately for the role