René Bastijans
Senior Researcher · product, growth and research operations · Jobs-to-be-Done · Win-Loss · AI-assisted research · B2B SaaS
- 10+years in research
- 75+studies
- 500+customer interviews
- ~30AI-assisted analyses
Profile
Finds out why B2B customers buy, stall or leave, turns it into decisions Product, Sales, Client Success and leadership act on, and builds the research operations behind it. Senior Researcher with 10+ years in customer, market and win-loss research for B2B companies (SaaS, fintech, insurance), after 9 years in product management (travel, edtech, betting). At Ponder, co-designs and runs the research workflows this work depends on: AI-assisted analysis of sales and client success calls, emails and texts, joined to the CRM and configured per research question rather than run through a generic tool. Business partner builds them to a brief set from the research side; runs them on client work and feeds back what the runs show. Experience tells him when AI-generated findings mislead, so he checks them by hand against what buyers actually said. Earlier, trained Product, Sales and Marketing teams to run their own research. 75+ studies and 500+ customer interviews across the career.
Selected achievements
- Validated a new product line for a B2B fintech before the roadmap commitment: 9 of 12 target customers would hire it and 10 of 12 accepted a plan about 25% higher than their current one; go decision and phased roadmap in three months. Case study
- Made buyer indecision coachable for a US broker that sells disability and life insurance to physicians: using AI-assisted research workflows we developed, delivered 30+ coaching reports from the reps' own calls to the Sales and Client Success teams (11 reps), each ending on one action per rep (with business partner). Case study
- Ran 14 win-loss interviews for the same broker, each checked against the CRM and call record; the COO commissioned a quarterly win-loss programme. Case study
- Built a B2B fintech's research panel in two months and grew it to 200 finance professionals; 20+ studies ran on it and recruitment fell from 7–10 days to 1–3. Case study
Skills
Research methods: Switch (Jobs-to-be-Done), win-loss and in-depth interviews, Simulated Selection, discovery research, concept testing, surveys, competitive and market analysis
Research enablement: Research training and coaching for Product, Sales and Marketing teams, public workshops
AI-assisted research: AI-assisted analysis of customer conversations, CRM and support data, checked by hand; transcript coding and synthesis; prompt reviews and evaluation of AI outputs
Product & growth: Product discovery, roadmap prioritisation, experimentation, pricing and packaging research, go-to-market, corporate innovation and startup acceleration
Tools: Claude (Code, Cowork, Chat), Gemini; GitHub; Linear, Basecamp; Google Workspace; Slack; Notion; Miro; Salesforce, HubSpot. Familiarity with Dovetail and Marvin.
Domains: B2B SaaS, fintech / pre-accounting, insurance brokerage, edtech, travel, iGaming, sports betting
Professional experience
Research and revenue-intelligence consultancy for B2B companies · Clients in the US and Europe
- Answer Leadership, Product, Sales and Marketing questions by mining clients' existing customer data (Sales and Client Success call transcripts, email, voicemail and SMS, CRM records) with AI-assisted conversation analysis, checked by hand (ongoing retainer).
- Coach the client's Sales and Client Success teams on buyer indecision from their own calls, with business partner, and run the win-loss interviews that led the COO to commission a quarterly win-loss programme (ongoing retainer).
- Set the brief for the AI-assisted conversation analysis that business partner builds, and ran about 30 analyses on client work as throughput grew from 5 runs a month to 50–80, feeding back what the runs showed; every finding traceable to its source.
- Conducted churn and value-driver analysis from CRM data and call transcripts for a B2B fintech client, identifying the main churn patterns that fed its retention plan.
- Build the research operations around the work: participant recruitment, incentives and the quality practices that keep findings checkable.
Remote from Lisbon · Berlin-based pre-accounting SaaS
- Built the research practice as its only researcher: ran the discovery and evaluative studies (switch interviews, Simulated Selection, concept testing, surveys) and coached Product, Sales and Marketing to run their own.
- Validated a new product line in three months, from competitive market analysis through Customer Advisory Board interviews to Simulated Selection, giving Leadership the evidence for a go decision and a phased roadmap.
- Set up the in-house research panel of 200 finance professionals with the BI analyst, the base for 20+ studies.
Self-employed · Lisbon · Clients in Europe and North America
- Helped develop the Simulated Selection method; helped global clients optimise existing products and create new ones through iterative experimentation grounded in Jobs-to-be-Done theory.
Self-employed · Lisbon
- Ran Jobs-to-be-Done market and customer research for software clients: switch interviews, demand map, prioritised growth opportunities for Product, Marketing and Leadership teams.
Self-employed · Lisbon
- Owned Product and Customer Experience for a cloud SaaS for surfboard manufacturers; introduced customer-driven development and delivery processes.
Self-employed · Lisbon
- Ran Protechting, the corporate startup accelerator with Fidelidade (Portugal's leading insurer) and parent company Fosun; mentored early and later-stage startups in the Lisbon Challenge and Beta-start programmes.
London · Promoted from Product Manager (2011–13) via Director, Product Management (2013) to Director, Future Technologies (2014–15)
- First hire in the Future Technologies team; grew it to 8 Product Managers, Designers and Developers delivering prototypes of digital learning products built on emerging consumer technologies.
- As Director, led the distributed cross-functional R&D unit and the internal corporate innovation community; set strategy and success metrics for prototypes, managed the team budget and line-managed three Product Managers.
- Product Manager, Momondo / Cheapflights (2008–2011): international travel sites and mobile app for CA, AU/NZ, DE, ES, FR and IT. Product Manager, AOL Europe (2007–2008). Product Manager, Ladbrokes (2006–2007): 14 language versions of Ladbrokes.com. Operations Manager, Ladbrokes (2002–2006): launched the German-language site; ran sports-betting, casino and poker operations in Sweden, Denmark, Norway and Finland. Account Manager, ilypsys (2001–2002): managed a B2B communication portal for Ford of Britain. Qualitative Market & Media Researcher, rheingold, Cologne (1998–2001): in-depth interviews and findings reports for advertising, print and TV clients.
Talks & workshops
Workshops on Jobs to be Done and Simulated Selection, co-led with Andrej Balaz: Future Product Days 2025 (Denmark, deck), WaysConf 2024 (Poland), UXinsight 2024 (Netherlands), Productized 2023 (Portugal).
Education & training
Diplom-Sportwissenschaftler (Diplom in Sports Science, MSc-equivalent), German Sport University Cologne, 2001
Zwischenprüfung (intermediate exam), English Literature & Linguistics, University of Cologne, 1997
Ethnographic Research Design and Innovation, Sam Ladner via EPIC People, 2023
Languages & interests
English and German (native) · Portuguese (B1) · French and Italian (A2) · Cycling, running, football
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