Genchi - Project delivery predictions, from the people doing the work
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Genchi shows engineering leaders a prediction of which projects are heading for a missed deadline and which aren't, from the people doing the work.
We've rebuilt it from the ground up. Team members vote with one anonymous click in Slack. Leaders see a combined score for every and trend in one portfolio view, so they know where to step in and which teams to leave alone.
Genchi works with Jira and Asana. You can see your live portfolio inside Claude, ChatGPT and Grok.
Free for teams of up to 10.
Replies
Hi, I'm Rowland, Genchi's founder.
Genchi shows engineering leaders a prediction of which projects are heading for a missed deadline and which aren't, from the people doing the work. Giving every engineer a way to be heard, this prediction comes from their anonymous, one-click confidence vote in response to a regular, automated Slack prompt. Those votes are combined by project into a single score, tracked over time, so leaders can spot projects in trouble sooner and step in where needed, and, more importantly, know which teams to leave alone.
Why another tool?
Standups (and standup tools) are intra-team focused. They tell a team how the team is doing, and often perform a "status thumb check," but that view rarely travels beyond the team.
Developer Productivity Insight Platforms are analytical. They forecast from work already completed, so they can't see what hasn't reached the tracker yet: the vague requirement, the shaky dependency, the worry nobody has raised.
Genchi makes it easy to capture the signal directly from the people doing the work. Think of a rolling SAFe confidence vote (fist of five), from 1 (Doubtful) to 5 (Certain), combined by project and visualized across the portfolio.
I first launched Genchi here in 2019, and it was stalled by COVID. This is a complete rebuild, with Jira and Asana integrations and an MCP App that shows your live portfolio inside Claude, ChatGPT and Grok.
It's free for teams of up to 10.
I'd love to hear if you use other tools to capture the "wisdom of crowds" directly from team members, and whether that signal has helped you better predict project outcomes.
This is great. I’m sure the team is fed up with the “How’s it going” round of conversations each week. I know I am. It’ll be great to simply automate that and track the results over time.
@cammie_doder Thanks Cammie. I'm on a mission to "Kill" Status Reports. Its a time sucking chore for most people and just not that accurate. We can have a much lighter and more accurate process. I'm surprised someone hasn't figured this out already.
Love this! Really appreciate how simple the interface is yet offers such strong insights. Nicely done!
@st1ck3r Thanks Chris. Glad you find it useful. You know we were going to call the company "Stipple" after the style of art, where close up you only see individual dots, but when you zoom out you see a really clear picture. Unfortunately the domain was already gone!
Rowland, an anonymous confidence vote gives the team a small way to flag a worry before it turns into a missed deadline. Keeping the trend by project should make those changes easier to spot. Congrats on the rebuild!
@oleksii_sekundant Thanks Oleksii. We really wanted to find a way to make it easy to get a recurring signal from the team, that'd actually be useful in helping to spot or ameliorate problems.
This is a huge upgrade over the last version I saw. The MCP connector is the big win. Now I can use Claude to mine the Genchi data and integrate it with my other decision-making.
@lawrence_vincek Thanks Larry - love to see that it's adding value in the IoT world! Let me know if you need any help!
Congrats on the launch @rowland!
@pointnova Thanks Julian.
predictions from the people actually doing the work is a smart angle, most trackers just guess 👏 do teams plug it into github only?
@petrkovacik Thank Petr. As teams generally use multiple different tools, the idea is that Genchi is the lightweight reporting layer that sits above the other products. So currently, we integrate with Jira and Asana, and of course, we use slack for the regular confidence check.