A published research method runs as a system, so the standard behind a challenge statement is the same one every time it is produced.
From a six-month working group to defined challenges in under an hour
Client
Date
$20B+ global workforce group's social innovation lab
09/2026
The challenge
A global workforce group's social innovation lab chooses what to work on by scanning labour markets for signals and turning them into defined challenges. That scan ran as a six-month working group on a largely manual process, with no codified method anyone else could pick up and repeat.
The solution
FifthRow deployed a signal-to-challenge engine. A region, a population group or a focus area goes in; sourced signals, prioritised trends and defined challenge statements come out, with the lab's own drivers, filters and theory of change encoded in the method rather than held in people's heads.
77,974
analyst-hours equivalent, 72 FTEs12,757
source-verified research questionsThe lab's scan asks one question in three moves: what is happening, what of it matters, and what should we work on. The method existed as a published document and as a working group's practice. It did not exist as anything that could be run.
Core Activities
- Encoded the lab's own published scan method – its drivers, its filters, its theory of change – as the logic the engine runs on
- Runs three linked stages: sourced signal detection, trend surfacing and prioritisation, then problem framing and challenge definition
- Takes a region, a population group or a focus area as an input, so the same method points anywhere without being rebuilt
- Searches local-language sources first and English second, so evidence from the markets under study is not lost before it is read
- Tags weak signals rather than discarding them, and reports what was excluded alongside what was kept
- Pulls institutional, academic and media evidence together instead of leaning on one class of source
The Results
Each cycle returns a defined challenge: the population it affects, the geography, the structural barrier underneath it, why it matters now, and how well it fits the lab's own model – with the evidence behind every claim traceable to where it came from.
~690
analyst-hours equivalent per challenge cycleCoverage that depends on someone having a free fortnight is not coverage. Six standing scans now run every two weeks across the lab's priority regions and population groups, and arrive as a summary in the inbox.
Core Activities
- Set six scans on a fixed fortnightly cadence across the priority regions and population groups
- Delivers an executive summary to the inbox with a link through to the full evidence, so nothing has to be started by hand
- Reports the delta each cycle – what changed since the last run, rather than the whole picture again
- Accumulates context run over run, so a later cycle starts from what the earlier ones established
- Cross-triangulates outputs across geographies to show what holds everywhere and where the pattern breaks
The Results
A fortnightly read on every priority region and population group, arriving whether or not anyone had time to ask for it, and getting richer each cycle instead of starting from zero.
43,116
analyst-hours equivalent, delivered unattendedSome questions need more than a scan. A single diagnostic programme now runs a nine-stage, forty-one-step evidence process across a whole region in about three and a half hours.
Core Activities
- Fixes a shared ontology and query architecture first, so every country is searched against the same definitions
- Harvests evidence in parallel lanes: country by country, regional institutions, and the employer and platform side
- Runs a dedicated disconfirming lane that goes looking for evidence against the picture forming
- Synthesises across social, technological, economic, environmental, political and legal lenses
- Scores and selects what survives, with a rescue lane for evidence that nearly cleared the bar
- Closes with an adversarial review testing every selection for soundness, duplication, currency and coverage, then a final package audit
The Results
A scored evidence base on what shapes labour-market access across a whole region, with the reasoning for every inclusion and every exclusion visible, produced in an afternoon rather than a research quarter.
11,765
sources analysed in one diagnostic runA research lead joined the lab in the summer and was given platform access. Three weeks after a first onboarding call, the region-wide diagnostic above had been built in-house, with no external build effort behind it.
Core Activities
- Onboarded the lab's research lead on editing templates, variables and datasets
- Handed the engine over as an editable template rather than a fixed deliverable
- The lab's own researcher assembled a nine-stage pipeline end to end, and a separate adversarial review system beside it
- Ran joint working sessions to tighten how each stage feeds the next as the pipeline scaled
- Kept every system in the lab's own catalogue, so a repeat study starts from a working method rather than a blank brief
The Results
The lab builds and changes its own research systems. New coverage no longer waits on an outside build queue, and the methodology stays in the lab's hands rather than in a supplier's.
3 weeks
from first onboarding call to a self-built pipelineWhat it proved
Ninety complete signal-to-challenge cycles have run across Southeast Asia, sub-Saharan Africa, Latin America, Europe and North America, answering 12,757 source-verified research questions. Sixty-one of those cycles ran to a fortnightly schedule with nobody starting them. One region-wide diagnostic ran forty-one stages of evidence work in a single afternoon. Three people did all of it.
The lab now holds its own scanning capability: a published method turned into a system it can run, edit and point at any region, population group or focus area it chooses. Looking at one more country is no longer a budget line and a working group's calendar. Across 368 runs the platform records 77,974 analyst-hours saved, the equivalent of 72 full-time analysts over the period, produced by three people.
Results
| Metric | Benchmark | Result | Improvement |
|---|---|---|---|
| Challenge cycle time | Six-month working-group scan phase | Under an hour, signal to challenge | Months to under an hour |
| Scan cadence | Time-bound, once per programme cycle | Six standing scans every two weeks | Continuous coverage, started by no one |
| Regional evidence depth | Manual desk research and expert calls | 41 stages of evidence work in an afternoon | Region-wide depth inside one working day |
| Methodology | Published document, no runnable form | 15 drivers and 5 filters encoded | A method that runs, not one that is read |
| Analyst-hours saved | Three people doing the work manually | 77,974 hours across 368 runs | Equivalent of adding 72 full-time analysts over the period |
Evidence is gathered in each market's own language before English, so signals from the places being studied survive to the analysis.
Faint signals are labelled and kept rather than filtered away, and what was excluded is reported next to what was kept.
A dedicated lane searches for evidence against the picture forming, so a conclusion has to survive a hostile read before it ships.
Researchers inside the lab assemble multi-stage systems themselves, so new coverage arrives without waiting on outside build effort.
Priority regions and population groups are re-read on a fixed schedule, so coverage stops depending on who had time that month.
Finding the next high-growth US metro in five days
$5B+ Global Design and Engineering Firm
08/2026
5 days
naming the next growth marketMaking consultants 3–5× more productive on the research behind their work
$30B+ Global IT Services and Consulting Group
08/2026
3–5×
productivity on consulting deliveryFrom a standing start to an AI venture serving small businesses
From 72 patents to 4 commercialisation-ready technologies
Cutting a four-month research cycle to six weeks across five validation workstreams
From a weekly newsletter to a self-running innovation radar
A full year's validated-concept target, met in the first quarter
A utility innovation lab that answers its own questions in a day
Finding the next high-growth US metro in five days
FifthRow – The Agentic Consultancy
Copyright 2026 FifthRow Inc., Privacy policy