You are interviewing for a Strategy & Analytics lead role at Evidentra, a Series B healthtech company building software for clinical research teams. Evidentra’s core product is a cloud-based “study operations hub” used by biotech and academic medical centers to manage protocols, IRB submissions, and site communications. The company has $42M ARR, growing 28% YoY, with ~320 enterprise customers (biotechs, CROs, and top-50 academic medical centers). Retention is strong (gross revenue retention 94%), but net revenue retention has slowed to 108% as customers consolidate vendors and push back on seat expansion.
Evidentra’s CEO believes the next growth vector is upstream: helping researchers design better studies before protocol finalization. The product team has prototyped an AI-assisted literature review and evidence synthesis module called Evidentra Review. It ingests PDFs and abstracts, extracts PICO elements (Population, Intervention, Comparator, Outcomes), summarizes findings, flags contradictions, and proposes candidate endpoints and inclusion/exclusion criteria.
This is not a generic “paper summarizer.” The aspiration is a workflow that can go from question → structured evidence table → draft study design with traceable citations. The bet: if Evidentra becomes the system of record for evidence synthesis, it can expand into protocol authoring, feasibility, and eventually real-world evidence.
Two things have changed in the last 12 months:
Competitive pressure: a well-funded startup, LitSynth, has landed several marquee biopharma logos with an AI literature review tool priced aggressively. Meanwhile, incumbents like Elsevier (Embase/Scopus) and Clarivate (Web of Science) are adding AI features and bundling them into existing subscriptions.
Customer behavior shift: research teams are experimenting with LLMs (ChatGPT, Claude) for early discovery, but compliance teams are increasingly concerned about hallucinations, citation integrity, and IP leakage. Several Evidentra customers have issued internal guidance: “LLMs allowed only if outputs are auditable and sources are verifiable.”
Evidentra’s board has asked for a concrete strategy: should Evidentra Review be launched as (a) a standalone product, (b) an add-on to the existing platform, or (c) an enterprise bundle aimed at regulated biopharma workflows? The decision matters because it will drive product scope (audit trails, validation, SOC2/GxP posture), partnerships (content licensing), and go-to-market motion.
Evidentra has done preliminary discovery with 26 customers (10 biotech, 8 CRO, 8 academic). Common pain points:
| Segment | # Orgs (US/EU focus) | Typical Users | Budget Owner | Buying Motion | Compliance Sensitivity |
|---|---|---|---|---|---|
| Academic medical centers | 600 | 5–30 | PI / department | decentralized | Medium |
| Mid-market biotech (pre-commercial) | 1,200 | 10–80 | Clinical ops / translational | semi-centralized | High |
| Top-50 biopharma | 50 | 200–2,000 | R&D procurement | centralized | Very High |
| CROs (global + regional) | 300 | 50–5,000 | delivery / innovation | centralized | High |
| Player | Positioning | Strengths | Weaknesses | Approx. Pricing Signal |
|---|---|---|---|---|
| LitSynth (startup) | AI evidence synthesis | fast UX, strong demos | limited auditability, unclear licensing | $60–120k / org / year |
| Elsevier tools | Search + databases | content depth, procurement muscle | slower product cycles | bundled; opaque |
| Clarivate tools | Citation + analytics | strong indexing | less workflow integration | bundled; opaque |
| General LLMs | Summarization | cheap, flexible | not auditable, policy concerns | $20–40/user/mo |
You are the acting Head of Strategy reporting to the CEO. You have 2 weeks to prepare a recommendation for the board meeting.