The Problem We Didn't Expect
We're currently working with Evola BSF on their manufacturing digitization, and started with what seemed like a classic, logical assumption:
Just build a shop floor app where workers input production data for their precision biological manufacturing.
Made perfect sense for a six-stage BSF protein production process where timing and environmental control are critical.
Discovery Phase Reality Check
Two weeks observing their production floor revealed something important: Many agricultural manufacturing workers face literacy challenges that make traditional digital interfaces impractical. Others aren't comfortable with digital systems, regardless of their reading abilities.
More critically, we observed that BSF production workers need to focus on larvae behavior and environmental conditions, not screens. Any system requiring text input or reading instructions during time-sensitive biological processes would disrupt the precision they've spent years perfecting.
Collaborative Redesign in Progress
Instead of pushing forward with the original plan, we're working with Evola's team to reshape the solution. This is exactly why we avoid rigid "go live" implementations—we'd rather build something that actually works for everyone.
The "Inputless" Concept We're Developing
Through workshops with Evola's production managers and floor observations, we're co-designing what we're calling an "inputless" manufacturing intelligence system:
- RFID batch tracking: Automatic logging of batch progression without worker scanning, reading, or data entry
- Smart weighing integration: Scales that feed data directly into inventory systems as part of normal workflow
- Environmental sensor network: Continuous monitoring that workers can ignore until visual/audio alerts matter
- Visual workflow guidance: Simple color-coded lights that integrate with existing work patterns—no text required
- Automated data capture: ERP updates happening invisibly behind familiar processes
The key insight: preserve existing expertise while capturing the data management needs invisibly, regardless of literacy levels.
Collaborative Design Process
How we're shaping this with Evola:
- Production manager sessions: Understanding what visibility they actually need vs. what they think they want
- Floor observation: Mapping real workflows, not documented ones
- Worker consultation: Learning what actually helps vs. hinders their precision work, regardless of reading abilities
- Iterative prototyping: Testing concepts that work for everyone on the team
We're documenting every assumption that gets challenged and every workflow insight that reshapes our approach.
The Emerging Approach
This project is reinforcing our core philosophy: the best technology implementations honor existing expertise while solving real operational challenges for all team members.
Working principle: Build for actual workflows and real people, regardless of literacy levels or digital comfort.
Rather than forcing adoption of a predetermined system, we're co-creating a solution that feels natural to every worker while giving management the operational intelligence they need.
Current stage: Finalizing sensor specifications and workflow integration points based on client feedback. No "go live" pressure—just iterative refinement until it works for everyone.
Ongoing project notes from the InnoLabs team. Our implementations prioritize inclusive design over rigid deployment timelines.